Design, build, test, and deploy AI agents and intelligent systems for modern cloud-based, n-tier architectures.
Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights.
Champion engineering excellence by applying best practices in AI development, continuous integration, and code quality.
Contribute to projects on agent orchestration, prompt engineering, real-time data-driven automation, and evaluation frameworks.
Manage technical debt and drive ongoing improvements in AI platforms and infrastructure.
Proactively seek opportunities to apply AI agents for increased business value and operational efficiency.
Collaborate directly with business stakeholders to understand needs and priorities. Make technology decisions that support current and future business objectives and fiscal responsibility. Translate business requirements into effective technology solutions.

Requirements

BS or MS in Computer Science or a related technical field (or equivalent experience), with 2+ years of professional development experience in an object-oriented language (Java, Python, or JavaScript preferred).
Hands-on experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks.
Strong analytical and problem-solving abilities.
Commitment to quality via automated testing, code reviews, and continuous delivery.
Results-driven with a passion for learning and staying current with emerging technologies.
Hands-on experience building LLM-powered or agent-based systems in production is preferred.
Experience with retrieval-augmented generation (RAG), vector databases, MCP servers, agent orchestration frameworks, prompt evaluation and iteration, model benchmarking, and performance testing is preferred.
Experience with Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex is preferred.
Experience in asset management, financial markets, or quantitative research environments is preferred.
Solid understanding of financial markets, financial instruments, and financial datasets is preferred.

Benefits

Competitive compensation
Annual bonus eligibility
A generous retirement plan
Hybrid work schedule
Health and wellness benefits, including online therapy
Paid time off for vacation, illness, medical appointments, and volunteering days
Family care resources, including fertility and adoption benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI developmentobject-oriented programmingJavaPythonJavaScriptcloud-native architecturesautomated testingcontinuous deliveryretrieval-augmented generationperformance testing

Soft Skills

analytical abilitiesproblem-solvingcommitment to qualityresults-drivenpassion for learningcollaborationcommunicationstakeholder engagementtechnology decision-makingtranslating business requirements