Agentic AI Engineer
$130,000–$170,000 year
HybridSalt Lake City, Utah, United States
Job Summary
Design and deploy customer-facing agentic AI products using AWS-native technologies including Strands Agents, AgentCore, Bedrock, and Lambda. 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. Write well-tested code, participate in code reviews, and instrument systems using observability tooling to iterate based on real user behavior. Collaborate cross-functionally with engineers, data teams, and compliance stakeholders to ensure AI outputs meet accuracy and regulatory standards.
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
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.