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# Software AI Engineer

- **Company:** Square, Inc.
- **Location:** United States
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Monitoring of Systems, Python (Programming Language), Software Tools, Microsoft Copilot, Software Engineering, SQL Databases, TypeScript, Enterprise Search, Data Processing, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Agentic-AI, Fastapi, Event Driven Architecture, Kubernetes, Enterprise Integration, Machine Learning Operations, Network Server, Data Pipelines, Automation Anywhere, Databricks
- **Published:** November 4, 2026
- **Apply:** https://computerjobs.com/us/en/mob/job/33664740609DA2773F

## About the Role

We are looking for an experienced Software AI Engineer to design, develop and support production-grade AI solutions for a Financial Services client. The role will focus on building Python applications, AI agents, LLM integrations and automated workflows across enterprise systems. You will contribute throughout the development lifecycle, from solution design through to deployment and production support. Financial Services experience is preferred., * Software engineering experience, including development, testing and production support.

 * Strong Python skills, with experience in Java, TypeScript or SQL.
 * Hands-on experience building LLM applications, including RAG, prompt engineering, tool calling and AI agents.
 * Experience with APIs, event-driven architecture and enterprise integrations.
 * Knowledge of Kubernetes, containers, CI/CD, security and application resilience.
 * Experience with Apache Spark or similar data-processing technologies.
 * Understanding of AI testing, evaluation, monitoring and deployment.
 * Financial Services experience, ideally within a regulated enterprise environment.

## Description

* Develop and maintain AI agents, orchestration frameworks and automated workflows.
 * Build MCP Servers to enable secure integration with enterprise systems and data sources.
 * Develop and maintain production-quality Python applications, APIs and Back End services.
 * Build RAG pipelines and enterprise search capabilities with accurate source attribution.
 * Develop data pipelines and AI workflows using Databricks and Apache Spark.
 * Support model development, testing, deployment and MLOps processes.
 * Create Copilot experiences with human-in-the-loop review capabilities.
 * Implement testing, monitoring and observability to ensure reliable production performance.
 * Improve development efficiency through AI-assisted engineering tools and process automation.