Agentic AI Engineer

3+ years of professional software engineering experience, with 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

The base salary range for this role is $130,000 - $170,000. Certain roles may be eligible for incentive compensation, equity, and benefits. Actual compensation will vary depending on various job-related factors, including, but not limited to location, experience, level, and job qualifications.

Competitive cash compensation (based on experience)

Equity (RSUs)

Competitive benefits package

A modern 401(k) plan that includes access to crypto, financial wellness benefits, low fees and more

Design, build, 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 deeply understand user problems and translate them into elegant, production-grade AI solutions

Own the full lifecycle of AI features - from prompt engineering and agent design through evaluation, deployment, and monitoring

Write well-designed, well-tested, and maintainable code; participate in code reviews to maintain quality and distribute AI/ML knowledge across the team

Instrument and monitor agentic systems in production using observability tooling; iterate rapidly based on real user behavior and feedback