Agentic AI devloper

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Agentic AI Construction : Building agentic AI multi-node decision models that include things like, retrieval augmented generation (RAG), semantic search, data scraping / extraction, converting unstructured data to structured, state graphs / agentic memory, calling APIs

Agentic AI Guidance : Adding guardrails, human in the loop, multi-agent work flows, reflection, citing sources, response verification, and other methodologies to increase the accuracy of agentic responses and prevent hallucinations

Technology Stack : Experience building with LangChain / LangGraph / LangSmith / Google Gemini / OpenAI's API, OpenAI's Swarm / Agents_SDK, vector databases, fine-tuning, SageWorks, BedRock, Docker

AI Centered Coding Workflow : Experience conducting research, systems architecting, analyzing code, troubleshooting, and writing code with LLMs, Cursor AI, Copilot, etc.

Ability to Present Proof of Concepts Well : Enough frontend, backend, devops experience to craft proof of concepts for agentic AI solutions

Nice to Have

Strong knowledge of full-stack development for AI-driven applications.

Familiarity with Docker, Kubernetes, and DevOps methodologies.

Background in AI research and experimentation.

Offshore based developer with following skills :

• Experiences with LLM, pref Llama.
• RAG; fine tuning; agent to agent communication & Integration.
• Good to have small models like Phi
• Good Communication

Skills Required

"agentic AI", "llama"