Software Engineer - Full Stack

Atlas Search, LLC
New York, NY, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Clean Code Principles Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Continuous Integration Relational Databases Python (Programming Language) Object-Oriented Software Development SQL Databases ReactJS Large Language Models
+11 more
Prompt Engineering Backend Agentic-AI Fastapi Kubernetes Codebase Streamlit Framework Software Version Control Data Pipelines GXP Docker

Job description

  • Develop FastAPI-based services on AWS that put portfolio, market and quant data in front of investment staff
  • Run and grow Prefect-orchestrated data pipelines in Docker and Kubernetes, with a focus on reliability and observability
  • Work with central technology partners to put AI to use for the business, using MCP servers, agentic workflows and several LLM providers
  • Maintain a documented, reusable, model-agnostic collection of AI plugins and skills for investment staff
  • Design and own relational databases that support research, portfolio and day-to-day operations work
  • Write clean, maintainable code and support good engineering practice, including CI/CD and version control

Requirements

  • 2+ years in quantitative development, analytics engineering or quantitative analysis at a bank, hedge fund, asset manager or financial data provider
  • Strong Python, with object-oriented design and tidy codebases; good command of SQL and relational database design
  • Production experience deploying backend services and APIs (FastAPI or similar)
  • Hands-on LLM work across several providers: prompt design, tool calling, retrieval-augmented pipelines
  • Practical familiarity with MCP servers, agentic frameworks or multi-model orchestration
  • Day-to-day use of AI-assisted development tools
  • AWS, containers (Docker, Kubernetes), infrastructure as code and workflow orchestration (Prefect, Airflow or similar)
  • Proactive and product-minded, comfortable with evolving requirements and with technical and non-technical colleagues; curious about financial markets

Nice to have

  • Dashboards or lightweight front ends (Streamlit, React)
  • Alternative data or vendor API integration
  • Prior experience at an investment firm

About the company

An investment firm is seeking a Software Engineer to work inside a business group, beside quantitative researchers and management, instead of in a centralized technology department. AI is central to the role: the hire will help shape how LLMs, agentic workflows and AI tooling are used in the investment process.

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