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# Lead Software Engineer

- **Company:** Virtusa Corporation
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Software Debugging, Decision Support Systems, Python (Programming Language), Machine Learning, OpenAI, Search Technologies, Software Engineering, SQL Databases, Systems Integration, Enterprise Data Management, Data Processing, Scripting, GitHub Copilot, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Agentic-AI, Git, Fastapi, Containerization, Integration Tests, M365 Copilot, AutoGen, Machine Learning Operations, Azure AI, Invoking Functions, Semantic Kernel, Human in the Loop
- **Published:** November 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/lead-software-engineer-minneapolis-mn--a27da7df-6a23-4df0-913e-3a375589824d

## About the Role

Software Engineering, Python Programming/Scripting Language, Software Engineering, Prototyping, Artificial Intelligence (AI), Workflow Analysis, Test Plan/Schedule, Application Programming Interface (API), Software Agents, Testing, Experience: 6+ years in software, AI/ML, or data engineering, including 4+ years of hands-on Python development.

Core Python: Advanced skills in APIs, data processing, unit/integration testing, debugging, and production-quality software development.

GenAI & Agentic AI: Hands-on development with LLMs, RAG, embeddings, vector search, prompt engineering, structured outputs, tool/function calling, multi-step workflows, memory/context management, and orchestration.

Integration & Systems: Integrating AI models with enterprise APIs, relational/vector databases, and cloud platforms.

Engineering Best Practices: Git, CI/CD, evaluation frameworks, monitoring, observability, security, and responsible AI.

Preferred Qualifications

Cloud & Frameworks: Azure AI/ML, Azure OpenAI, Semantic Kernel, LangGraph, AutoGen; FastAPI, SQL, containerized deployments.

Domain: Healthcare payer, Medicare Advantage, insurance, or regulated enterprise environments (PHI/PII handling).

AI Governance: Guardrails, hallucination mitigation, model evaluation, and compliance.

Initiatives & Expectations

Projects: DSNP Food Benefit Platform / Medicare Advantage Plan Optimization (decision support, RAG, agentic workflows).

Tooling: 90%+ weekly utilization of enterprise AI tools (GitHub Copilot, M365 Copilot) across development, testing, and documentation.

## Description

Role Overview Hands-on engineering role (prototype to production) combining strong Python and software engineering fundamentals with AI/ML, GenAI, RAG, and Agentic AI engineering.

Primary Responsibilities

Design, develop, test, and deploy Python-based AI/ML and Agentic AI solutions for DSNP business/analytics workflows.

Build intelligent agents using LLMs, RAG, tools/APIs, enterprise data, orchestration, and human-in-the-loop patterns.

Integrate AI capabilities with existing DSNP applications, APIs, analytics platforms, and enterprise data stores.

Develop production-grade AI services with robust testing, evaluation, monitoring, security, and observability.

Collaborate cross-functionally (Product, Data, UX, Architecture, Engineering) to translate business needs into scalable solutions.