About This Role
This individual contributor engineering role focuses on implementing, integrating, and supporting agentic AI workflows in production on AWS. The Senior Developer will build and ship AI workflows designed in collaboration with a Solutions Architect, turning reference architectures and agent designs into tested, deployed, and maintained code.
Responsibilities
- Build and ship agentic AI workflows designed in collaboration with a Solutions Architect
- Implement, integrate, and provide production support for agentic AI workflows
- Translate reference architectures and agent designs into working, production-quality code on AWS
Requirements
- 5 years of professional software development experience including production coding in Python and/or TypeScript/Node.js
- Hands-on experience with core AWS services: Lambda, API Gateway, Step Functions, DynamoDB or RDS, S3, EventBridge, IAM, CloudWatch
- Working experience integrating LLM/foundation model APIs (Bedrock, OpenAI, Anthropic or similar) into application code
- Strong debugging and troubleshooting skills in distributed, event-driven systems
- Familiarity with infrastructure as code (CloudFormation, CDK or Terraform)
- Solid software engineering fundamentals: API development, automated testing, version control, and CI/CD pipelines
- Comfort working from an architectural design or spec and translating it into working, production-quality code
- Experience in insurance or financial services, particularly underwriting/claims automation
Nice to have:
- Prior exposure to agent orchestration frameworks (AWS Agent Core, LangGraph, AutoGen, Bedrock Agents) or agentic workflow concepts
- Exposure to agent observability/evaluation tooling (tracing, eval harnesses, guardrails)
- AWS certifications (Developer Associate, Solutions Architect Associate or higher)
