Applied AI Engineer
True Talent Solutions Partners
- Location
- Onsite (New York, New York)
- Compensation
- $200k - $250k/yr
- Employment
- Full-time
- Level
- Senior Level
About the role
Join a team building AI infrastructure and custom software for institutional finance. You will work with investment teams to turn complex research and analytics workflows into production-ready applications using agentic AI.
Skills
Full job details
About the Role
Join a team building AI infrastructure and custom software for institutional finance. You will work with investment teams to turn complex research and analytics workflows into production-ready applications, using agentic AI to make financial work faster and more accessible.
What You'll Do
Build user-facing LLM features such as research intelligence, natural-language querying, automated summaries, and agentic workflows.
Develop agent orchestration, MCP-connected data sources, and integrations using modern AI frameworks and tools.
Build full-stack applications for portfolio analytics, risk management, and investment research, from backend APIs to responsive interfaces.
Design and maintain Python APIs and reliable ETL pipelines for positions, securities, risk metrics, and research data.
Implement financial analytics and performance or risk calculations using time-series and linear algebra tools.
Deploy and iterate on production software, incorporating direct user feedback while balancing speed and quality.
What We're Looking For
Three to eight years of experience building applied AI products, including user-facing agentic features from initial concept to launch.
Strong first-principles understanding of agentic workflows and a track record of using AI development tools effectively.
Proficiency in Python and API development with FastAPI, Flask, or Django, plus experience with React, SQL, and cloud or AI infrastructure.
Hands-on experience with LLM APIs, MCP servers, agent frameworks such as LangChain, and prompt engineering.
Experience building applications on existing AI infrastructure, rather than focusing primarily on model training or research.
Interest or experience in institutional finance, fintech, quantitative work, or other data-intensive fields, with curiosity about how investment teams make decisions.
Comfort working in unstructured environments, solving loosely defined problems, and delivering user-facing software.
Compensation & Benefits
Base salary: $200,000 to $250,000 USD annually. Visa sponsorship is available.
Location
On-site in New York, United States.