Agentic AI Engineer
$130,000–$170,000 year
HybridSeattle, Washington, United States
Job Summary
Design and deploy customer-facing agentic AI products using AWS-native technologies like Strands Agents, AgentCore, and Bedrock. Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that perform accurately in high-stakes financial contexts. Partner with product managers and customer success to translate user problems into production-grade AI solutions, then own the full lifecycle from prompt engineering through evaluation and monitoring. Instrument systems in production using observability tooling and iterate based on real user feedback while collaborating with compliance stakeholders to ensure regulatory standards. Write well-tested code, participate in code reviews, and communicate complex AI concepts to both technical and non-technical audiences.
Required Qualifications
- 3+ years of professional software engineering experience
- at least 1 year building and shipping AI/LLM-powered applications in production
- Hands-on experience with AWS AI/ML services - Bedrock, Strands, AgentCore, SageMaker, or equivalent agentic frameworks
- Strong understanding of agentic patterns: tool use, RAG, memory management, multi-agent orchestration, and human-in-the-loop design
- Experience designing and evaluating LLM pipelines including prompt engineering, output validation, and hallucination mitigation
- Familiarity with AI observability, evaluation frameworks, and responsible AI practices
- Ability to work in an agile environment and communicate complex AI concepts clearly to both technical and non-technical audiences
- Bachelor's degree in Computer Science, Machine Learning, relevant technical field, or equivalent practical experience
- Strong coding skills in Python and/or TypeScript
- Experience with AWS cloud infrastructure, IAM, Lambda, and related services
- DataDog and GitHub CI/CD
- Curiosity-driven - you stay current with fast-moving AI research and tooling and bring new ideas to the team
- High ownership mentality - you care about what happens after the code ships
- Passion for building AI systems that are not just capable, but trustworthy and reliable in a compliance-sensitive environment
Desired Qualifications
- Experience with AWS cloud infrastructure, IAM, Lambda, and related services; DataDog and GitHub CI/CD a plus
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