Description

Required Qualifications:
 

• 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
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• Technology Stack: Experience building with LangChain/LangGraph/LangSmith, AWS Lambda/S3/Gateway/ECR, 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

Key Skills

Education

Any Graduate