Sr. AI Engineer (Agentic AI & AWS Bedrock) Remote/Hybrid with Travel
- Compensation
- Not disclosed
- Location
- Jacksonville, United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 10-15+ years of software engineering, cloud engineering, or AI/ML development experience.
- Strong hands-on experience building Generative AI or Agentic AI applications.
- Demonstrated experience deploying and supporting AI agents in production.
- Strong understanding of AWS cloud services, LLM architectures, and automated deployment processes.
- Ability to independently design, implement, troubleshoot, and optimize AI agent solutions.
Nice to have
- Experience with LangChain, LangGraph, or other agent orchestration frameworks.
- Experience with RAGAS, DeepEval, or similar LLM evaluation frameworks.
- Familiarity with Amazon OpenSearch, Pinecone, FAISS, or pgvector.
- Experience with Docker, Terraform, or infrastructure as code.
- Knowledge of Model Context Protocol (MCP).
- Experience with prompt engineering, guardrails, and AI governance.
- Experience deploying enterprise Generative AI solutions in production environments.
Full description
Sr. AI Engineer (Agentic AI & AWS Bedrock) Remote/Hybrid with Travel
The key is time zone coverage and so we can expand our search across the West Coast - remote/hybrid but necessarily located in the western time zones. You must be comfortable to travel to the client site for workshops/meetings.
Overall experience: 12-20+ years Cloud Platform: AWS Primary Language: Python
- AI Engineer (Agentic AI / AWS Bedrock)Experience: 6–8+ Years
Role: AI Engineer / Generative AI Engineer
Location: USA
Specialization: Agentic AI, AWS Bedrock AgentCore, Claude Agent SDK, Langfuse, AI Observability & Evaluation
Job Summary
We are seeking an experienced AI Engineer with strong hands-on expertise in building, deploying, and monitoring production-grade AI agents and Generative AI solutions using AWS technologies.
The ideal candidate will have experience developing AI agents using Claude Agent SDK, deploying them on Amazon Bedrock AgentCore Runtime, automating deployments through GitHub Actions, and implementing Langfuse for observability and continuous evaluation of agent traffic.
The role requires a strong combination of AI engineering, cloud deployment, data pipeline development, and LLM performance monitoring.
Key Responsibilities1. Agentic AI Development
- Design, develop, and deploy AI agents using Claude Agent SDK and Python.
- Build intelligent, autonomous agents capable of executing complex workflows and interacting with external tools, APIs, and knowledge bases.
- Develop agent orchestration workflows with appropriate error handling, retry mechanisms, and guardrails.
- Integrate AI agents with enterprise applications and data sources.
2. AWS Bedrock & AgentCore
- Deploy and manage AI agents using Amazon Bedrock AgentCore Runtime.
- Develop scalable, secure, and production-ready agent architectures on AWS.
- Integrate agents with Amazon Bedrock foundation models and enterprise knowledge bases.
- Implement agent authentication, access controls, logging, and runtime monitoring.
3. Langfuse Deployment & AI Observability
- Deploy, configure, and maintain Langfuse for comprehensive LLM and agent observability.
- Integrate Langfuse with AI agents to capture traces, prompts, responses, tool calls, and execution metrics.