Senior Specialist - Data Sciences
LTM · Hartford, CT · 2 days ago
On-siteEngineeringFull-time
About the role
Agentic Systems seeks a Senior Developer AI Engineer to build and run production AI agents on AWS Bedrock and AgentCore. This role involves deploying LLM agents, orchestrating multi-agent workflows, building custom MCP servers, managing RAG pipelines, enforcing Bedrock guardrails, and running output quality gates.
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
Requirements
Experience: 7 to 9 years overall, 2 years hands-on with LLMagentic systems
- Primary Production Python
- AWS 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
Qualifications
- Nice to have but not mandatory: TypeScript React AWS CDK Databricks Claude Code LLM cost optimisation insurance or regulated industry exposure
Skills
- Production Python
- AWS 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
Benefits
- Comprehensive Medical Plan
- Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
Pay
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.
Schedule
Details on the schedule are not specified in the job posting.