
Search by job, company or skills
Job Description: AI Agent Engineer (Agent Building Team)
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
Multimodal agent development (text + image/audio processing)
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.
Job ID: 144117311