Agentic AI Engineer

You'll be at the forefront of applied AI, designing and shipping agentic systems that operate autonomously, reason across complex data, and deliver world-class experiences to enterprise customers. You'll design, build, and deploy customer-facing agentic AI products using AWS-native technologies, architect multi-agent systems with reliable tool use, memory, and orchestration patterns, and partner with product managers and customer success to translate user problems into elegant, production-grade AI solutions. You'll own the full lifecycle of AI features, from prompt engineering and agent design through evaluation, deployment, and monitoring, while writing well-designed, well-tested, and maintainable code and participating in code reviews. You'll instrument and monitor agentic systems in production and collaborate cross-functionally with engineers, data teams, and compliance stakeholders to ensure AI outputs meet accuracy and regulatory standards.

Responsibilities

• 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 understand user problems and translate them into 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 and participate in code reviews
• Instrument and monitor agentic systems in production using observability tooling and iterate rapidly based on real user behavior and feedback
• Collaborate cross-functionally with engineers, data teams, and compliance stakeholders to ensure AI outputs meet accuracy and regulatory standards

Requirements

• 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
• 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 a plus

Benefits

• Equity (RSUs)
• Competitive benefits package
• A modern 401(k) plan that includes access to crypto, financial wellness benefits, low fees and more
• Hybrid working model: 3 days in-office, 2 days WFH/flexible
• Monday team lunches, snacks and drinks
• Discretionary Time Off
• Paid parental leave
• Fertility Benefit
• Autonomous work and flexibility in how work is performed