AI Agent Engineer – AWS Bedrock & SDLC Automation

Job Title: AI Agent Engineer – AWS Bedrock & SDLC Automation

Location: Seattle, WA (Onsite)

We are looking for a skilled AI Agent Engineer to design, develop, and deploy intelligent agents using AWS Bedrock. You will drive adoption of AI across the software development lifecycle (SDLC), reducing manual effort and accelerating delivery through purpose-built agents and automation.

Key Responsibilities

· Design and build AI agents using AWS Bedrock, including multi-agent orchestration patterns and tool integrations.

· Identify high-impact SDLC bottlenecks and deploy agents to automate planning, coding, testing, review, and deployment workflows.

· Define and mature an Agent Development Lifecycle (ADLC): prompt engineering, evaluation, versioning, and monitoring standards.

· Integrate agents with developer tooling (CI/CD, ticketing, code repositories, observability platforms).

· Collaborate with engineering and product teams to gather requirements and iterate on agent capabilities.

· Establish guardrails, safety checks, and cost controls for production agent deployments.

· Document architectures, agent behaviors, and operational runbooks; contribute to internal AI best practices.

Required Qualifications

· 3+ years of software engineering experience; proficiency in Python and/or TypeScript.

· Hands-on experience with AWS Bedrock (Agents, Knowledge Bases, Guardrails) or equivalent LLM orchestration frameworks.

· Solid understanding of SDLC practices: CI/CD, code review workflows, testing strategies, and DevOps tooling.

· Experience with prompt engineering, RAG architectures, and LLM evaluation methodologies.

· Familiarity with AWS services: Lambda, Step Functions, S3, CloudWatch, IAM.

· Experience with multi-agent frameworks (LangGraph, AutoGen, CrewAI) or AWS Bedrock multi-agent orchestration.

Nice to Have

· Background in platform or developer experience engineering.

· Contributions to internal AI tooling, developer productivity, or MLOps pipelines.