Job description

Design, develop, and deploy autonomous AI systems as part of the Investments Technology team. Collaborate in cross-functional squads across Investments, Investments Technology, and Labs to help scale responsible AI solutions across the enterprise. This role could have the opportunity for split onsite hybrid between our Baltimore and Washington DC locations. Responsibilities • 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 • US Citizenship • BS or MS in Computer Science or a related technical field (or equivalent experience), with 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 Skills • 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 About Us For more than 20 years, NewGen Technologies has solved our clients’ toughest IT challenges with integrity, security, and outstanding service by delivering both technology and talent. We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the identification of criminals, and have helped to prevent crime through the introduction of biometrics. Our team of Highly Cleared Specialists have hard-to-find skills and expertise in a wide spectrum of technologies to provide solutions that transform business processes and solve problems of national significance. #CJ

Requirements

Must-haves

This role could have the opportunity for split onsite hybrid between our Baltimore and Washington DC locations.
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
US Citizenship
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

Nice-to-haves

BS or MS in Computer Science or a related technical field (or equivalent experience), with 5+ years of professional development experience in an object-oriented language (Java, Python, or JavaScript preferred)
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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Professional Development