Agentic Gen AI Engineer

- A passion for staying at the forefront of emerging technologies, with an ability to quickly grasp complex scientific literature and thoughtfully implement innovative techniques in real-world applications.

- Deep enthusiasm for agentic AI and demonstrated expertise in applying it creatively and effectively across diverse domains.

- Extensive technical breadth spanning frontend and backend development, large language models (LLMs), machine learning, retrieval-augmented generation (RAG), and agentic AI solutions

- Proven experience designing, developing, integrating, deploying, and maintaining sophisticated AI-driven systems at scale.

- Agentic AI Construction: Building agentic AI multi-node decision models that include things like, retrieval augmented generation (RAG), semantic search, 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

- 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.

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."

The base compensation range for this role in the posted location is: 103330 - 128656