Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field.
• 3–5 years of hands-on software engineering experience with proficiency in Java or Python and modern full-stack web technologies (e.g., React, TypeScript, FastAPI, Spring Boot).
• Practical experience building Gen AI applications using Google ADK, LangGraph, or equivalent agentic frameworks, vector databases, and AWS Bedrock.
• Experience implementing evaluation pipelines and prompt testing with Braintrust, AgentCore Eval, equivalent technologies, or custom benchmark harnesses.
• Working knowledge of core AWS services including Lambda, ECS/Fargate, S3, EventBridge, CloudWatch, and API Gateway.
• Solid understanding of standard SDLC tooling, automated testing, Git, Docker, and CI/CD automation.

Nice to Haves

• Exposure to financial domain data, investment research workflows, or enterprise content authoring tools.
• Practical understanding of token optimization, prompt caching, and latency reduction strategies.
• Familiarity with guardrail frameworks defending against prompt injection and unauthorized data access.
• Experience building asynchronous or event-driven microservices across polyglot Java and Python stacks.

What You'll Be Doing

• Build and maintain end-to-end full-stack features integrating frontends with backend APIs and microservices implemented in Java or Python.
• Implement and optimize advanced RAG pipelines and stateful multi-agent workflows using Google ADK, LangChain, LangGraph, AWS Bedrock, or equivalent technologies.
• Implement automated offline and online evaluation suites to assess contextual relevance, groundedness, and hallucination reduction.
• Deploy and connect AI components with enterprise services on AWS, including Lambda, ECS/Fargate, EventBridge, S3, IAM policies, and API Gateway endpoints.
• Monitor model and service performance with CloudWatch and distributed tracing; triage incidents and conduct root-cause analyses.
• Participate in peer code reviews, write automated unit and integration tests, maintain CI/CD pipelines, and document integration patterns and data models.
• Coordinate with business stakeholders and cross-functional teams in Agile sprints to translate research requirements into technical stories.

Perks and Benefits

• Valuable and competitive benefits and wellness offerings for active full-time and part-time US employees working at least 20 hours per week.