A passion for staying at the forefront of emerging technologies
Ability to quickly grasp complex scientific literature and thoughtfully implement innovative techniques in real-world applications
Deep enthusiasm for agentic AI and expertise in applying it creatively and effectively across diverse domains
Proven experience designing, developing, integrating, deploying, and maintaining sophisticated AI-driven systems at scale

Requirements

Agentic AI Construction: Building agentic AI multi-node decision models including 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 workflows, reflection, citing sources, response verification, and methodologies to increase accuracy 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
Ability to Present Proof of Concepts: Sufficient frontend, backend, and devops experience to craft proof of concepts for agentic AI solutions
Strong knowledge of full-stack development for AI-driven applications (Nice to Have)
Familiarity with Docker, Kubernetes, and DevOps methodologies (Nice to Have)
Background in AI research and experimentation (Nice to Have)

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

agentic AImulti-node decision modelsretrieval augmented generationsemantic searchdata scrapingdata extractionstate graphsAPI integrationfull-stack developmentAI-driven applications

Soft Skills

ability to grasp complex scientific literatureinnovative thinkingproblem-solvingcommunicationcollaboration