AI Agent Engineer

Job Location: United States, Canada and Mexico Word Mode: Hybrid Experience: 4+ years “This role requires hands-on experience building production LLM / GenAI systems (RAG, vector databases, prompt engineering). Classical ML-only profiles will not be considered.” About the Role We are looking for an AI Agent Engineer to join client’s Agent Building team to develop intelligent agents and business applications consuming the Enterprise AI Platform, with a focus on agent orchestration, evaluation frameworks, and domain-specific workflows using platform primitives. Key Responsibilities Build agents using AWS Strands SDK, Bedrock AgentCore SDK, and CrewAI orchestration Develop agent logic and troubleshooting using strong Python skills Implement comprehensive evaluation frameworks for model performance and RAG quality Create backend services with Python and integrate with platform APIs Build frontend experiences using React JS and Node JS frameworks Manage source code with Git/Bitbucket using agile development practices Design and debug agent behaviors for production reliability and business outcomes Integrate domain-specific RAG pipelines and evaluation metrics Consume platform services (gateways, MCP tools, observability) following security patterns Required Skills & Qualifications 4+ years Python development with AI/ML frameworks (CrewAI, LangChain, or equivalent) Hands-on experience building production agents with Bedrock AgentCore SDK, Strands SDK/CrewAI Strong evaluation framework development (LLM judging, RAG metrics, agent success criteria) Full-stack development experience (React JS frontend, Node JS/Python backend) Agent debugging and observability skills for complex multi-agent workflows Experience consuming enterprise API platforms (REST/GraphQL/OAuth2) securely Nice to Have Domain expertise in financial services use cases for agentic AI Previous CrewAI production deployments with custom tools and memory management Integers.Ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr