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# Software Engineer - Full Stack

- **Company:** Atlas Search, LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** 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, Prompt Engineering, Backend, Agentic-AI, Fastapi, Kubernetes, Codebase, Streamlit Framework, Software Version Control, Data Pipelines, GXP, Docker
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/b64c7d17-5f7e-465f-8e9c-8a3bf85074f7

## About the Role

* 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

## 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