Langchain jobs

...architectures—think GPT-style transformers—and then reproduce, extend, and evaluate recent research in natural language processing. Here’s what I need from you: • A clear learning roadmap that walks me through the essential papers, repos, and concepts behind modern text-generation systems. • Hands-on guidance while I set up a Python environment (PyTorch or TensorFlow, Hugging Face Transformers, perhaps LangChain) and fine-tune or train a model on a small dataset. • Practical notebooks that generate text, document the hyper-parameters used, and demonstrate evaluation techniques such as perplexity, BLEU, and human-readability checks. • Regular feedback sessions—screen-sharing, code reviews, troubleshooting—to make sure I trul...

...AI-assisted reporting * Financial Accounting * Automated financial reporting * Cash flow forecasting * Profitability analysis * Accounts receivable and payable monitoring * Business performance dashboards * AI-generated financial insights #Required Technical Expertise * ERPNext & Frappe Framework * Python * JavaScript * REST API development and integrations * AI/LLM integration (OpenAI, LangChain, MCP, or equivalent) * Website development * E-commerce integration * Mobile application development * Database design and optimization * Cloud deployment and DevOps # Deliverables * Complete ERPNext implementation and customization * AI agents integrated with ERPNext * Responsive website integrated with ERPNext * B2B/B2C e-commerce platform * Mobile applications for Andr...

We are looking for experienced Freelance AI/ML Engineers to join multiple exciting remote projects. If you have 6+ ...If you have 6+ years of hands-on experience in Artificial Intelligence and Machine Learning, we'd love to hear from you. Requirements: 6+ years of experience in AI/ML development Strong expertise in Python, Machine Learning, and Deep Learning Experience with LLMs, Generative AI, RAG, AI Agents, and Prompt Engineering Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain, or similar technologies Experience developing, deploying, and optimizing production-grade AI/ML solutions Excellent analytical, problem-solving, and communication skills Job Details: Role: Freelance AI/ML Engineer Experience: 6+ Years Work Mode: 100% Remote Ope...

...bottleneck. What I expect from you You’ll design and code the entire backbone: secure REST endpoints, clean front-end hooks (React or similar), and microservices or serverless functions that talk fluently with every API in play. Python or Node.js is fine, provided the approach supports quick iteration and future hand-off. Where rule-based logic isn’t enough, I want small, focused AI agents—think LangChain, OpenAI, or similar libraries—making routing and decision calls. Key deliverables 1. Unified automation workflows covering sales, order booking, and logistics. 2. Stable integrations for CRM, inventory, WhatsApp, Navision, and Busy. 3. A lightweight monitoring or analytics layer so we can see throughput and failure points. 4. Deployment script...

...who is comfortable owning the entire build—backend, vector store, orchestration layer, front-end, deployment, observability—until we have something users can pay for and trust in production. The technical architecture needs to be innovative and be able to sustain workload that scales with new clients. Core stack is flexible, but practical experience with LLMs, RAG pipelines, agent frameworks (LangChain, LlamaIndex, or similar), modern web tech (React/Next, TypeScript, Node/Python, Postgres), and cloud infrastructure (AWS, GCP, or Azure) will be pivotal. 3. Production readiness: containerised deployment, basic auth, logging, metrics, and a one-click cloud deploy script. If you have shipped something similar—or are eager to dive deep into agentic RAG architectu...

I run an existing real-estate website and now want to layer AI-driven automation on top of it. My main focus is keeping the inventory data display realtime, answering routine user inquiries, and suggesting the most relevant properties to each visit...trained for property availability and scheduling visits, with an easy way for me to add new intents later. • Recommendation service that ranks and serves up properties based on user history, deployable via REST or GraphQL. • Clear setup instructions and commented source so my team can maintain it. If you have prior experience combining real-estate data with tools such as TensorFlow, OpenAI, LangChain or similar, that will help us move faster, but I’m open to any robust stack as long as the final result is reliable a...

...high-quality MVP using modern AI technologies while emphasizing speed, cost-effectiveness, scalability, and clean system architecture. Preferred Technology Stack We welcome equivalent recommendations; however, our preferred technology stack includes: • Frontend: React or • Backend: Python (FastAPI) • AI: OpenAI API (preferred), with support for Anthropic Claude or equivalent • AI Workflow: LangChain or LlamaIndex • Database: PostgreSQL with a Vector Database (e.g., Pinecone, Weaviate, or pgvector) • Cloud: Microsoft Azure or AWS • Authentication: Auth0, Clerk, or equivalent MVP Scope A detailed functional specification, technical requirements, and product documentation will be provided to the selected developer following the execution of a Non-...

...reproduce the setup on staging and production. Acceptance criteria 1. A live demo on both channels that returns correct order-status details for test accounts. 2. Source code and infrastructure scripts stored in my private repository. 3. Short video or written walkthrough covering installation, configuration, and knowledge-base refresh. If you have previous work with WhatsApp Business, LangChain, or similar frameworks, mention it when you respond so we can hit the ground running....

...SEO impact ### 5. Reporting Generate a structured report (Markdown or JSON) containing: * Executive summary * Competitor strengths * Our content weaknesses * Prioritized recommendations * Suggested content outline * Overall SEO score for both pages ## Technical Requirements Preferred technologies: * Python * Playwright or Selenium * BeautifulSoup * OpenAI, Claude, or Gemini APIs * LangGraph, LangChain, CrewAI, or similar AI agent frameworks (optional) ## Nice to Have * Strong understanding of SEO and content optimization * Experience building AI agents or automated research tools * Experience with semantic SEO and topical authority * Previous work in real estate or marketplace websites ## When Applying Please include: * Examples of AI agents or LLM applications you've built ...

I’m building a new CRM in Laravel 12 and want an online AI-driven coding companion that helps me ship production-ready code in PHP and MySQL. The first milestones revolve around three pillars: secure user authentication, solid database man...regressions, and push to a Git repository automatically. I’ll interact with the agent in real time—chat, terminal, or any intuitive web UI you propose—so quick feedback loops are essential. Clear inline comments, short documentation snippets, and commit messages that explain the “why” behind each change will be expected as part of the workflow. If you have experience marrying tools like OpenAI, LangChain, or similar with Laravel projects, and you’re comfortable pair-programming alongside a human, let&r...

...digital marketers, and community influencers to help us sell seats for our Master Agentic AI cohort — one of India's most comprehensive hands-on AI agent training programs hosted on Maven. This is a pure commission-based role — no fixed pay, no cap on earnings. The more you sell, the more you earn. About the Course Master Agentic AI is a 6-week live cohort priced at $799 per student covering LangChain, LangGraph, CrewAI, MCP, AutoGen, RAG, and full production deployment of AI agents. It is taught by industry practitioners with real-world agentic AI experience and hosted on Maven — the world's leading cohort-based learning platform. Your Earning Potential 50 students - Course Price $799 - Your Earnings $11,985 There is absolutely no cap on how much yo...

...genuine contextual understanding while still keeping the system lightweight and maintainable. Here’s the current environment: the application is built on a typical React front-end with a Node/Express API and a PostgreSQL database. You’ll plug your solution into our existing WebSocket-based chat widget, so familiarity with real-time messaging workflows is important. I’m open to frameworks such as LangChain, Rasa, or a custom orchestration layer on top of OpenAI/Anthropic models—as long as the final solution lets multiple specialized agents collaborate (e.g., intent detection, knowledge retrieval, escalation) before a single answer is sent back to the user. Key deliverables • Agent architecture diagram and tech stack decision rationale • Work...

...audience. You’ll deliver a already created curriculum that walks participants through practical use of the following tools (either you can build agent with code or no code both works) in the context of building, deploying and managing agents: • N8N for low-code orchestration • Vibe Coding for rapid prototyping • Claude Co-Work for collaborative AI workflows • Python foundations paired with LangChain and LangGraph for custom agent logic and integrations Sessions should weave in product-management thinking—showing how to translate a requirement into an agent specification, select the right stack, iterate, and measure success. Expect interactive demos, live walkthroughs and plenty of Q&A. What I consider a complete delivery: 1. Live d...

...settings or data in different online accounts. The dashboard itself should let me: – Open a chat (or speak) to any agent and get instant answers. – View real-time logs of every action taken. – Add new integrations through simple plug-ins so the system grows with my needs. – Control safety limits and authentication for each connected service. Preferred tech is up to you—Python, Node, LangChain, AutoGen, vector stores, or whatever stack delivers speed, reliability and secure API handling. Just document everything so I can maintain it. Deliverables 1. Architecture diagram and repo with clean, commented code. 2. Working agents tied into at least one social platform, one trading sandbox and Google Calendar. 3. Web (or desktop) dashboard w...

...prototypes. Let me know your approximate timeline, the libraries you intend to use, and any dataset suggestions when you reply. Required Skills (Tags): Python Artificial Intelligence Machine Learning (ML) Deep Learning Generative AI LLM (Large Language Models) OpenAI API Prompt Engineering NLP (Natural Language Processing) Data Science Data Processing Pandas NumPy TensorFlow PyTorch Scikit-learn LangChain Deliverables: Working source code Setup instructions Basic documentation Testing before delivery Budget: ₹1500 (Fixed Price) Timeline: 1-2 Days only Application Requirements: Please share: Similar AI/ML work done earlier Tech stack you will use Delivery timeline Whether you can provide post-delivery support...

...Development, UI Design, and AI-powered applications. I enjoy building modern, responsive, and user-friendly web applications from concept to deployment. My Skills * **Frontend:** HTML, CSS, JavaScript, React.js, Bootstrap, Tailwind CSS * **Backend:** Node.js, , Flask, REST APIs * **Databases:** MySQL, MongoDB * **AI & Machine Learning:** Python, NLP, Retrieval-Augmented Generation (RAG), LangChain, OpenAI APIs, Hugging Face * **Tools & Technologies:** Git, GitHub, Postman, VS Code What I Do * Develop secure and scalable backend systems and APIs. * Build responsive and interactive frontend interfaces. * Design clean, modern, and intuitive website layouts. * Integrate AI features such as chatbots, intelligent search, and automation. * Create end-to-end web applications ...

...Stack: Frontend React TypeScript Backend NestJS or Node.js Database PostgreSQL Supabase (Preferred) AI Layer OpenAI Claude LangGraph / LangChain Multi-Agent Architecture RAG Vector Database Infrastructure Docker Vercel / AWS CI/CD Pipeline --- Deliverables Complete source code Database architecture Admin dashboard AI agent framework User authentication & permissions Documentation Deployment setup Testing and bug fixing Production-ready deployment --- Required Experience Please apply only if you have experience with: AI Agents Multi-Agent Systems OpenAI API Claude API LangGraph LangChain RAG Systems SaaS Platforms Workflow Automation Dashboard Applications --- When Applying, Please Include 1. Relevant AI projects...

...beyond off-the-shelf customer-support or data-analysis offerings. The agent must: • Automate the routine, repeatable tasks I’ll supply in a process map • Generate clear, well-formatted reports from the data it collects or receives • Interact naturally with end-users, handling multi-turn conversations through chat (voice hand-off later is a plus) You’re free to choose the tech stack—Python, LangChain, OpenAI, or another modern framework—so long as the final product is easy for me to deploy and extend. Deliverables • A fully functional AI agent exposed via a simple web interface or REST/GraphQL API • Setup scripts and step-by-step documentation • A short video or live demo proving the agent completes the listed task...

...• Write and tune complex queries, views and procedures in our primary SQL Server database (experience with MySQL or PostgreSQL is a plus, but SQL Server mastery is essential). Generative AI scope You will own the full model lifecycle: training, fine-tuning and ultimately deploying our Gen AI models into a live environment. If you’ve worked with frameworks such as Hugging Face Transformers, LangChain or similar—and can back it up with examples—that will help you ramp up quickly. What success looks like 1. Clean, well-documented Python and SQL code merged through pull requests with meaningful reviews. 2. Noticeable performance gains in legacy modules, demonstrated by benchmarks we’ll agree on up front. 3. At least one Gen AI model trained, fine-...

...inference and training, production-grade LLM functionality (LangChain-powered), and Retrieval-Augmented Generation using a vector store. Core workflow • Code is pushed → pipeline (GitHub Actions or similar) runs tests, builds the container image, and promotes it to the cluster. • Helm or ArgoCD handles drift management so that the desired state remains in sync. • At runtime, the service must auto-scale both CPU and GPU requests, proving horizontal and vertical elasticity. • Token or currency budgeting is tracked per request so I can see live cost data and later hook it into FinOps dashboards. Inside the cluster • Nvidia AI Enterprise stack (Triton, TensorRT, CUDA) installed via the operator. • LLM endpoints wrapped with LangChai...

...incident investigation support, change management, manual/document control, report generation and a real-time dashboard. Safety officers, regulatory auditors and incident investigators will use the application every day, so the interface needs to present tailored views and permissions for each role. What I expect you to deliver • Architecture and deployment of the AI agent layer (e.g., Python, LangChain or similar) that orchestrates GPT-based reasoning with structured data in a vector/relational store. • A risk register module that lets users create, prioritise, update and close risks while the agent performs automated assessments, suggests mitigation actions and logs residual risk. • Workflow automations for mitigation planning and audit evidence collection...

should Build agentic workflows using LangChain/LangGraph and similar frameworks. • Develop autonomous agents for data validation, reporting, document processing, and domain workflows. • Deploy scalable, resilient agent pipelines with monitoring and evaluation. GenAI Application Engineering • Develop GenAI applications using models like GPT, Gemini, and LLaMA. • Implement RAG, vector search, prompt orchestration, and model evaluation. • Partner with data scientists to productionize POCs. Data & Platform Engineering • Build distributed data pipelines (Python, PySpark). • Develop APIs, SDKs, and integration layers for AI-powered applications. • Optimize systems for performance and scalability across cloud/hybrid environments. MLOps / LLMOps &...

...Development, UI Design, and AI-powered applications. I enjoy building modern, responsive, and user-friendly web applications from concept to deployment. My Skills * **Frontend:** HTML, CSS, JavaScript, React.js, Bootstrap, Tailwind CSS * **Backend:** Node.js, , Flask, REST APIs * **Databases:** MySQL, MongoDB * **AI & Machine Learning:** Python, NLP, Retrieval-Augmented Generation (RAG), LangChain, OpenAI APIs, Hugging Face * **Tools & Technologies:** Git, GitHub, Postman, VS Code What I Do * Develop secure and scalable backend systems and APIs. * Build responsive and interactive frontend interfaces. * Design clean, modern, and intuitive website layouts. * Integrate AI features such as chatbots, intelligent search, and automation. * Create end-to-end web applications ...

...Kite / Binance API only after validation. Every live trade requires one-click human approval. RISK ENGINE (non-negotiable): • Stop loss = Entry ± (14-day ATR × 2.0) • Position size = (Capital × 1%) ÷ (ATR × 2.0) • Trailing stop activates after 1× ATR in profit • Stop NEVER widens. Ever. TECH STACK (preferred): Python 3.10+, yfinance / Binance API / Kite API, Claude API for report generation, LangChain or LangGraph, Backtrader or QuantConnect LEAN, Telegram bot for daily output. WHAT I NEED IN YOUR BID: 1. Relevant experience with trading bots or financial AI agents 2. Your timeline and per-milestone pricing 3. One specific question about this brief (shows you read it) 4. GitHub link or sample of prior work Milestone-ba...

...day at 6:00 AM. • Automatically export the carousel in a LinkedIn-ready format (PDF or images). • Publish the generated carousel directly to my LinkedIn account via API/integration. • Maintain a log of generated topics to avoid duplicate content. • Provide a simple dashboard or management interface to upload new documents and manage the knowledge base. Preferred Skills: • RAG systems (LangChain, LlamaIndex, Haystack, etc.) • Vector databases (Pinecone, Qdrant, Weaviate, ChromaDB) • OpenAI, Claude, or Gemini APIs • LinkedIn API integration • Canva API or automated carousel generation • Workflow automation (n8n, Make, Zapier, Airflow, Python) • Cloud deployment and scheduling Nice to Have: • Experience building...

...Engineering Company AI/LLM Development Team Senior AI Architect with expertise in designing and deploying scalable AI systems. Required Expertise OpenAI APIs and LLMs Agentic AI & Multi-Agent Systems RAG (Retrieval-Augmented Generation) Vector Databases Conversational Memory Systems Context Management Prompt Engineering Function/Tool Calling AI Workflow Orchestration Experience with LangGraph, LangChain, LlamaIndex, Pinecone, Weaviate, Qdrant, or similar technologies is preferred. Travel-Tech Experience (Major Advantage) The AI must understand: Flight booking workflows Fare rules and restrictions Baggage policies Transit and travel requirements Airport intelligence Alternative airport suggestions Layover validation Date optimization OTA-style booking logic API & Bac...

...SaaS Platform Features required: * Multi-tenant architecture * User authentication * Subscription plans * Role-based access controls * Admin portal * Customer portal * Activity tracking * Audit logs --- ## Preferred Technology Stack ### Backend * Python * FastAPI / Django * PostgreSQL * Redis ### Frontend * React.js / * Tailwind CSS ### AI & Data * OpenAI / Anthropic APIs * LangChain or equivalent framework * Vector Database * OCR Engine * Embedding Models ### Infrastructure * Docker * Kubernetes (preferred) * AWS / Azure / GCP --- ## Security Requirements * Enterprise-grade security * RBAC (Role-Based Access Control) * Encryption at rest and in transit * Secure API architecture * Audit logging * Multi-tenant isolation * Backup and recovery mechanisms --- ##...

...2+ years of experience in data science, machine learning, AI engineering, or applied NLP. * Hands-on experience building applications using LLMs such as OpenAI, Anthropic, Gemini, Llama, Mistral, Qwen, or similar models. * Strong Python programming skills. * Experience with RAG pipelines, embeddings, vector databases, and retrieval systems. * Experience with at least one framework such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, Haystack, or similar. * Good understanding of machine learning, NLP, model evaluation, and data preprocessing. * Experience working with APIs, databases, cloud services, and production software systems. * Ability to analyze model outputs, debug failures, and improve system quality. ## Preferred Qualifications * Experience with...

...2+ years of experience in data science, machine learning, AI engineering, or applied NLP. * Hands-on experience building applications using LLMs such as OpenAI, Anthropic, Gemini, Llama, Mistral, Qwen, or similar models. * Strong Python programming skills. * Experience with RAG pipelines, embeddings, vector databases, and retrieval systems. * Experience with at least one framework such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, Haystack, or similar. * Good understanding of machine learning, NLP, model evaluation, and data preprocessing. * Experience working with APIs, databases, cloud services, and production software systems. * Ability to analyze model outputs, debug failures, and improve system quality. ## Preferred Qualifications * Experience with...

I’m developing an AI-native CRM specifically for pharmaceutical and life-science comp...component or sample call that renders the output inside the CRM workspace. • Evaluation script with metrics for factual accuracy, hallucination rate, and compliance wording. Useful context We already house HCP interactions, content engagement, sample data, and field notes in a single Snowflake cluster and expose them through REST and GraphQL. You’re free to choose the stack—Python, Typescript, LangChain, Azure OpenAI, or similar—as long as it’s containerised and cloud-agnostic. If you have deep experience with LLMs, retrieval-augmented generation, and building regulated-industry software, let’s talk timelines and milestones so we can move this ag...

I'm looking to connect with freelance Full Stack Engineers who have experience with: • C# / .NET • React / • TypeScript • Python / FastAPI • PostgreSQL / SQL Server • AWS / Docker • OpenAI, LangChain, RAG, and AI-powered applications If this sounds like your background, feel free to send me a message. I'd love to connect and discuss potential collaboration opportunities.

...system should launch automated outreach campaigns—email sequences, LinkedIn touches, or WhatsApp nudges—while an AI tracker watches for local construction triggers such as new CREDAI member additions or early-stage excavation alerts. Every interaction and trigger should feed back into my CRM so I can see hot prospects in real time. Deliverables • A deployed agent (Python/Node, Scrapy/Selenium, LangChain or similar) that scrapes the three source categories safely and respects rate limits. • Contact-enrichment pipeline with validation ≥ 95 % accuracy. • Automated outreach workflows pre-loaded in my CRM/marketing-automation tool, ready to run. • Trigger dashboard or webhook that flags new projects within an hour of detection. • One-mo...

...level Worked with AI APIs — OpenAI, Anthropic Claude, or similar — in real production code, not just demos Background in or genuine interest in digital marketing or sales funnels (you understand why speed-to-lead matters, what a conversion rate is) Familiar with Supabase, Vercel, or similar modern deployment platforms Bonus (don't worry if not): Experience with Model Context Protocol (MCP), LangChain, or agent frameworks Solar industry exposure — or you want it You've shipped something you're genuinely proud of (send the link) Who you are as a person You think in systems, not just code. When you build a feature, you instinctively ask how it scales, where it breaks, what it depends on. You're a self-starter. Solana's founder works rem...

I already have a RunPod GPU instance waiting and need a clean, production-ready setup of an open-source large language model that will power a technical-support chatbot. Here’s what has to happen: • Provision the RunPod container (CUDA drivers, Python, Hugging Face Transformers, LangChain, bitsandbytes, etc.) and verify the GPU is fully utilized. • Load and configure an open LLM (I’m leaning toward Llama-2 or similar; suggestions welcome) with the right quantization to fit the available VRAM while maintaining answer quality. • Expose a secure REST or WebSocket endpoint—FastAPI is fine—so my front-end can pass user queries and receive streamed responses. • Add basic retrieval-augmented generation hooks so the bot can reference m...

...workflows * Excel and Google Sheets automation * Strong analytical thinking and problem-solving capabilities * Ability to work independently and drive projects to completion Preferred Qualifications * JavaScript fundamentals * Experience with Airtable, PostgreSQL, or similar databases * Power BI or Looker Studio * Exposure to ERP/SAP environments * Familiarity with AI Agent frameworks such as LangChain, CrewAI, or similar technologies What Makes This Opportunity Unique * Direct collaboration with the founder on strategic and operational initiatives * Daily access to leadership for guidance, feedback, and rapid decision-making * Significant ownership and autonomy in designing and implementing solutions * Opportunity to build systems that have a measurable business impact from ...

...React Native, implement real-time chat interfaces with streaming responses, and ensure mobile-first design. Infrastructure & Security – Deploy on AWS/GCP/Azure with Docker and Kubernetes, implement secure authentication (JWT/OAuth), and ensure data privacy and system resilience. You Have: • Proven expertise building LLM-powered systems and agentic AI applications • Hands-on experience with LangChain, AutoGen, or CrewAI • Strong Python backend development skills • Proficiency with vector databases (FAISS, Pinecone, Weaviate) • Cloud deployment and scalable architecture experience • Familiarity with OpenAI, Anthropic, Hugging Face APIs Nice to Have: Multi-agent collaboration systems, AI evaluation/monitoring, production AI system experien...

...that automate repetitive tasks, improve customer support, capture leads, and connect with business tools through APIs. I can design and build a custom AI agent based on your business needs, whether it is for customer support, lead qualification, appointment booking, CRM updates, email automation, document handling, or internal task automation. The system can be built using tools such as OpenAI, LangChain, Python, FastAPI, Zapier/Make, webhooks, Google Sheets, Airtable, CRM APIs, WhatsApp, or custom dashboards. My approach is to build a clean, scalable, and easy-to-manage automation system. I will first understand your workflow, identify the tasks that can be automated, design the agent logic, connect the required tools, test the automation, and provide clear documentation so yo...

...knowledge base that I will provide. The end result must be easy for me to maintain: once you train the model on my FAQ content, I want a simple way—whether an admin panel or a clean JSON/YAML file—to edit or add answers without touching code. Our site runs on WordPress, so a lightweight JavaScript snippet or React component that drops into any page is ideal, but I’m open to Dialogflow, Rasa, LangChain, or an OpenAI GPT back end if it keeps the workflow smooth. Key deliverables • Live website chatbot focused on “Answer FAQs” • Integration code and step-by-step deployment instructions • Documentation showing how to update or retrain the knowledge base • Short hand-off call or video walkthrough If this launch goes well, I ...

• Built StockAI, a full-stack AI-powered stock market analysis and trading platform using Python, FastAPI, Streamlit, XGBoost, and Machine Learning. • Devel...tracking and paper trading functionalities for testing investment strategies without real capital exposure. • Created dynamic data visualizations using Plotly for market trend analysis, forecasting, and performance monitoring. • Optimized machine learning workflows for fast inference and production-ready deployment. • Experienced in Generative AI, Machine Learning, Deep Learning, AI Agents, LangChain, FastAPI, n8n Automation, and Full-Stack AI Application Development. • Skilled in Python, XGBoost, Random Forest, FastAPI, Streamlit, React, , API Integration, Workflow Automation, Data Analysis,...

...one-on-one online training. My budget is $50 for the initial training package. Please let me know: Your Python experience and teaching background The Python version you teach (preferably Python 3.12/3.13) Whether you cover: OOP, file handling, exceptions, modules, packages NumPy and Pandas APIs and web scraping SQL databases Git and GitHub FastAPI, Flask, or Django AI/LLMs, OpenAI APIs, and LangChain Testing, debugging, and virtual environments I am interested in practical learning with real-world projects such as: Automation scripts Data analysis projects Web APIs AI chatbot applications Please include: Course outline/syllabus Number of training hours Teaching format (live online sessions needed) Your availability and time zone When applying, please briefly describe what ...

...system. • Approval processes – trigger, monitor, and record multilayer approvals, nudging stakeholders when they lag, and logging a full audit trail. • Scheduling tasks – analyse workload and availability, then automatically book or reschedule tasks, meetings, or follow-ups on the calendar. I expect you to choose or fine-tune the most suitable LLM, wrap it in a lightweight agent framework (LangChain, LlamaIndex, or similar), and weave in company-specific rules so the bot’s decisions remain transparent and controllable. Clear, well-commented code, a short setup guide, and a demo run on sample data will let me verify everything works before we connect it to production. If this sounds straightforward to you and you have shipped comparable AI agents ...

...applicant-management system through its REST API so that no manual upload is required. On top of that parsing layer, I also need a lightweight recommendation engine. Using the newly structured data, it should surface the most relevant candidates for a given role or, conversely, suggest the best-fit roles for an incoming candidate. I’m open to the underlying stack—spaCy, Hugging Face transformers, LangChain, vector databases, or another approach—so long as the model’s suggestions can be justified and tweaked over time. Acceptance criteria • Resume files processed with ≥95 % field-extraction accuracy on a 50-doc test set • Data automatically posted to the management system with no lost fields • Recommendation output returned via API...

...updates without touching code. – User accounts with basic matter tracking, document uploads and encrypted storage. – Deployment to my existing domains with staging and production environments. Stack guidance I’m comfortable with React or on the front end and Node, Django or similar on the back, so long as you can justify your choice. For AI, feel free to pull in OpenAI / GPT-4, LangChain, Pinecone (or an equivalent vector store). You just need to justify your choice and it's fine if the team is okay with it. Acceptance criteria (final hand-off) 1. Two responsive websites live on our servers, SSL enabled. 2. AI chatbot answers our seeded questions with <3 sec average latency and 95 % accuracy on a test set we’ll supply. 3. Admin dashb...

...presenting it as an at-a-glance fit score or summary inside the candidate profile. Anything that helps me pre-sort the pipeline and surface hidden talent is a plus. All agents must respect and extend native Greenhouse workflows—think webhooks, Harvest API, custom fields, and activity feed notes—so I never have to leave the platform to act on your output. I’m open on tech stack (Python, Node, LangChain, custom LLM finetunes, etc.) as long as the solution is secure, maintainable, and easy for a recruiter to tweak without engineering help. Deliverables • Deployed resume-parsing agent categorising incoming résumés by job role • Screening agent generating skills/experience match insights inside Greenhouse • High-level design for t...

...decisions, status updates) Improve delivery processes (lightweight, no bureaucracy) Identify expansion opportunities (AI, performance, security, analytics) Build long-term trust with key stakeholders Qualifications What We’re Looking For Native-level English (spoken & written) 5+ years experience (Senior Engineer / Tech Lead) Experience with AI/LLM tooling such as Vertex AI, Gemini, LangChain, or related platforms Python (preferred), Node.js, TypeScript, JavaScript, Go, Java, .NET, or similar backend languages React, Angular or modern front-end frameworks Strong understanding of APIs, cloud, data, scalability, trade-offs Ability to explain technical topics to non-technical stakeholders Comfortable with US time zones Highly organized and reliable Comfort...

...all six milestones and delivery of the final integrated platform, documentation, and source code repository. Expected Commitment * Part-time engagement * Approximately 80–100 hours of effort per milestone * Approximately 480–600 total project hours * Maximum Project Completion Window: 180 Calendar Days Required Skills * Python * Retrieval-Augmented Generation (RAG) * Agentic AI Systems * LangChain * LangGraph * LlamaIndex * Vector Databases * Large Language Models * Prompt Engineering * Docker * Git Milestone 1 – Knowledge Infrastructure & Data Ingestion Maximum Time for Milestone Completion: 30 Calendar Days Estimated Effort: 80–100 Hours Deliverables: * System architecture specification * Knowledge repository design * Document ingestion fram...

...intuitive on first click. 2. Writing robots Alongside the site I am building a set of “writing robots”. A software developer comfortable with Python, Node, or similar languages should connect large-language-model APIs, handle prompt engineering, and wrap everything in a small dashboard so I can monitor output quality and tweak parameters without touching code. If you have experience with OpenAI, LangChain, or comparable toolkits, let me know. 3. 13-minute faceless videos For post-production I need: • Voice-over in clear, neutral English that matches an on-screen script and hits timing marks. • Engaging background music that is royalty-free and properly licensed. • Full video editing (cuts, text callouts, basic motion graphics) so the final M...

...layers. Important: No production credentials will be provided. No Snowflake sandbox or sample schemas from the client. The developer can use a personal Snowflake dev account or create a sandbox with sample data for implementation. Claude API key will be provided for LLM integration. Scope of Work (Step 1) Environment Setup Python virtual environment / Dockerfile Install necessary libraries: LangChain / LangGraph, Snowflake connector, FastAPI, OpenAI / Claude API Tier 2 – Orchestrator Agent LLM-based natural-language query parsing using provided Claude API key Workflow planning and tool selection Response formatting for internal/external surfaces Tier 3A – Semantic Layer Implement metrics mapping and versioned registry Use sandbox / personal Snowflake schema with sam...

I need an AI-driven agent built with either LangGraph or LangChain that plugs directly into our Snowflake warehouse and focuses exclusively on data retrieval. The goal is to give business users a natural-language interface that can: • Execute custom SQL and Snowpark queries on demand • Stream real-time updates as underlying tables change • Run scheduled extractions and drop results into predefined destinations (another Snowflake schema, S3, or a REST endpoint) The workflow should be orchestrated so each step—authentication, query composition, execution, and result formatting—runs as a clear, maintainable graph or chain. Please incorporate robust error handling, role-based access, and simple hooks where we can add further processing later. Deliverabl...

...to create an MVP/prototype that demonstrates the architecture and validates core concepts. Key prototype goals: LLM-generated output workflows Structured validation pipelines Contradiction detection Confidence filtering Knowledge graph integration Reasoning integrity checks Simple dashboard or visual workflow demonstration Preferred experience: Python OpenAI and/or Anthropic APIs LangChain Neo4j or graph databases AI agents RAG systems Backend AI workflow architecture I am looking for a practical engineer who can: simplify architecture intelligently recommend efficient MVP approaches rapidly prototype concepts communicate clearly and collaboratively Initial budget is intentionally limited and focused on proof-of-concept development only. Potential exists for...