AI / Agentic AI Engineer

Location: Concord, CA

Candidate Requirement: Local candidates only

Work Authorization: Open to all work authorization types

Interview Process: 1-hour in-person interview, including a coding assessment

Job Summary

We are looking for an experienced AI / Agentic AI Engineer to design, develop, and deploy next-generation AI agents and intelligent automation solutions. The ideal candidate has hands-on experience building AI-powered applications using LLMs, agentic workflows, APIs, and modern AI frameworks.

This is a local, onsite opportunity in Concord, CA, and candidates must be available for a 1-hour in-person interview and coding assessment.

Key Responsibilities

• Design and develop AI agents and Agentic AI workflows for business applications.
• Build LLM-powered applications using models such as GPT, Claude, Gemini, or similar technologies.
• Develop multi-step agent workflows involving reasoning, tool calling, planning, and decision-making.
• Integrate AI agents with enterprise APIs, databases, SaaS platforms, and internal systems.
• Work with frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or equivalent.
• Implement RAG (Retrieval-Augmented Generation) using vector databases and enterprise knowledge sources.
• Develop reliable prompts, tools, memory, guardrails, and evaluation strategies for AI agents.
• Build and maintain Python-based AI services and APIs.
• Optimize AI applications for performance, scalability, accuracy, and cost.
• Implement testing and evaluation methodologies for LLM and agent-based systems.
• Collaborate with software engineers, product teams, and business stakeholders to translate requirements into AI solutions.

Required Qualifications

• Strong hands-on experience with Generative AI, LLMs, and Agentic AI.
• Strong programming skills in Python.
• Experience developing production-grade AI/ML applications.
• Experience with LLM APIs and prompt engineering.
• Experience with RAG, embeddings, vector databases, and semantic search.
• Experience building AI agents capable of tool/function calling and multi-step workflows.
• Strong understanding of REST APIs, microservices, and cloud-based applications.
• Experience with Git and modern software development practices.
• Strong problem-solving and coding skills.

Preferred Qualifications

• Experience with LangGraph, LangChain, LlamaIndex, CrewAI, or AutoGen.
• Experience with AWS, Azure, or GCP.
• Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or pgvector.
• Experience with AI observability, evaluation, and agent reliability.
• Knowledge of Docker, Kubernetes, CI/CD, and production deployment.
• Experience with multi-agent architectures and autonomous workflows.
• Ideal Candidate Profile

We should focus on candidates who are strong Python engineers with real hands-on Agentic AI experience, rather than candidates who only have general GenAI, prompt engineering, or basic LLM API integration experience.

Primary Search Combination

Python + Agentic AI + LLM + RAG + + MongoDB + Guardrails

Please prioritize candidates who have built and enhanced production AI agents and can demonstrate strong software engineering practices around AI-generated code and AI outputs.

Interview Process

1-hour In-person Interview In Concord, CA, Including

• Technical discussion
• Agentic AI / LLM experience discussion
• Live coding assessment
• Problem-solving and system-design discussion

Important Candidate Requirement

Local candidates in or near Concord, CA only. Candidates must be able to attend the interview in person. Work authorization is open — all work authorization types will be considered.

Skills: python,guardrails,vector,agentic ai / llm,vector db