What are the responsibilities and job description for the Sr. AI Full Stack Software Engineer position at Tential Solutions?
AI Full Stack Software Engineer – Investments Technology (Senior)
Job Type: Full Time, Perm
Location: DMV Area (Baltimore / Washington DC) – Hybrid
About The Client
A premier global asset management organization with more than 85 years of experience, providing investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors.
Role Summary
Job Type: Full Time, Perm
Location: DMV Area (Baltimore / Washington DC) – Hybrid
About The Client
A premier global asset management organization with more than 85 years of experience, providing investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors.
Role Summary
- Design, develop, and deploy autonomous AI systems as part of the Investments Technology team
- Collaborate in cross-functional squads across Investments, Investments Technology, and an internal AI lab to help scale responsible AI solutions across the enterprise
- Build and contribute to AI agents that interact with proprietary financial data, enterprise systems, and investment professionals
- Support investment research, quantitative analysis, portfolio management, and trading business functions through intelligent automation
- 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
- 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, Python, Java, or JavaScript preferred
- Hands-on experience with cloud-native architectures using AWS or Azure, containerized microservices, and agent frameworks
- Strong analytical and problem-solving abilities
- Commitment to quality through 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
- Experience with RAG, vector databases, MCP servers, agent orchestration frameworks, prompt evaluation, model benchmarking, and performance testing
- Experience with Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex
- Background in asset management, financial markets, or quantitative research environments
- Solid understanding of financial markets, financial instruments, and financial datasets
- Hybrid, up to three days per week from home