Sr. AI Full Stack Software Engineer – Investments Technology
HybridBaltimore, Maryland, United States
Job Summary
Design, build, test, and deploy autonomous 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. Make technology decisions that support current and future business objectives and fiscal responsibility. This role may involve a split onsite hybrid schedule between Baltimore and Washington DC.
Required Qualifications
- US Citizenship
- BS or MS in Computer Science or a related technical field (or equivalent experience)
- 5+ years of professional development experience in an object-oriented language (Java, Python, or JavaScript preferred)
- Hands-on experience building LLM-powered or agent-based systems in production
- 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
Desired Qualifications
- Experience with retrieval-augmented generation (RAG), vector databases, MCP servers, agent orchestration frameworks, prompt evaluation and iteration, model benchmarking, and performance testing
- Experience with Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex
- Experience in asset management, financial markets, or quantitative research environments
- Solid understanding of financial markets, financial instruments, and financial datasets
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