Role description
Role Senior Developer AI Engineer Agentic Systems
Experience 7 to 9 years overall 2 years handson with LLMagentic systems
Technical Skills Primary
Production Python Amazon Bedrock agentic frameworks Strands or LangGraph CrewAI Autogen MCP embeddings and vector search structured prompt engineering LLM evaluation AI guardrails FastAPI GitHub Actions Terraform OpenTelemetry
Technical Skills Secondary Nice to have NOT MANDATORY
TypeScript React AWS CDK Databricks Claude Code LLM cost optimisation insurance or regulatedindustry exposure
Role
Build and run production AI agents on AWS Bedrock and AgentCore You own them end to end orchestration retrieval guardrails evaluation and observability shipped through the same CICD discipline as any other service Build role not research
Key Responsibilities
Deploy LLM agents on AgentCore Bedrock Claude Sonnet standard runtime
Orchestrate multiagent workflows with the AWS Strands SDK
Build custom MCP servers in Python to connect agents to enterprise systems
Own RAG pipelines Titan Embeddings v2 pgvector Databricks Vector Search
Manage prompts as versioned code in Bedrock Prompt Management
Enforce Bedrock Guardrails PII detection promptinjection defence
Run output quality gates via AgentCore Evals Braintrust
Instrument agents with OpenTelemetry into Dynatrace ELK steps token cost latency
Ship via FastAPI GitHub Actions and Terraform
