in building multi-step intelligent systems, and comfortable working across UI, APIs, cloud AI platforms, and observability tools. You'll work with cutting-edge frameworks like LangChain, LangGraph, LangFlow, CrewAI, and others to build advanced prototypes that integrate short-term and long-term memory, RAG pipelines, vector databases, and more. Key Responsibilities: Rapidly build and iterate on LLM- and agent … prototypes for various use cases (chatbots, copilots, A2A task agents, etc.). Implement agentic workflows, multi-step reasoning pipelines, and memory management using frameworks such as LangChain, LangGraph, LangFlow, CrewAI, Autogen etc. Engineer and tune prompts to enhance performance and reliability of generative tasks. Design RAG systems using vector databases (Pinecone, FAISS, Chroma, PosgreSQL etc.) for contextual retrieval. Incorporate semantic More ❯
tagging, reporting, and anomaly detection. • Design and deploy RAG (Retrieval-Augmented Generation) and embedding-based search solutions integrated with enterprise knowledge bases. Agent Orchestration & Autonomy • Build intelligent agents using CrewAI, LangChain or similar frameworks to support use cases like automated report generation, root cause analysis, and interactive user agents. • Implement feedback and memory mechanisms to support context-aware, evolving agents. … Strong experience with GCP ( Vertex AI, Google Studio and other GCP tools). • Demonstrated success integrating LLM APIs (OpenAI, Vertex AI, Perplexity, Gemini) into production systems. • Expertise with LangChain, CrewAI , OpenAI platform or similar frameworks. • Expertise in building and deploying JS/n8n/Python-based AI workflows , agents, and APIs. • Solid SQL knowledge for structured data operations and AI More ❯
understand their needs and deliver production-ready, secure AI applications Build and maintain CI/CD pipelines, deploying across AWS, GCP, or Azure Rapidly prototype tools using Streamlit, LangChain, CrewAI, and dev tools like Cursor Integrate third-party AI model APIs (e.g. OpenAI, Anthropic) and work with vector databases Translate business problems into scalable data pipelines and deployable AI systems More ❯
AI services (e.g., OCI Data Science, AI Services, Gen AI Agents) that are secure, scalable and optimized for performance & cost. • Build agentic AI solutions using frameworks such as LangGraph, CrewAI, AutoGen.• Design & lead the development of machine learning AI/ML pipelines and fine-tuning pipelines to adapt foundation LLMs to enterprise-specific datasets• Work with embedding models and OCI More ❯
validate new ideas for the venture studio with a focus on AI and web3 technology stacks. We are working with bleeding edge open source technologies such as LangGraph, LangChain, CrewAI, various open source LLMs and blockchains like Starknet, zkSync etc. The ideal candidate is an experienced Machine Learning Engineer that has experience working with various models, in particular LLMs, and More ❯
