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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Engineer - **Company:** THE PHOENIX - **Location:** Mundelein, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $165,000.0 - $215,000.0 - **Contract:** Permanent contract - **Skills:** ASP.NET, JavaScript (Programming Language), .NET Framework, Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Code Review, Django Web Framework, Github, IT Management, Python (Programming Language), OpenAI, Microsoft Copilot, Next.js, Software Engineering, Software Systems, Systems Architecture, TypeScript, User-Centered Design, Google Cloud, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Technical Debt, Cloudformation, Fastapi, Containerization, Gitlab-ci, Kubernetes, Information Technology, Bicep, Web Technologies, Machine Learning Operations, Claude, Virtual Agents, Terraform, Document Classification, Docker, Jenkins - **Published:** October 27, 2026 - **Apply:** https://www.thejobnetwork.com/job/cdff05fa-0863-4faf-bbaf-9f41c89bf760/lead-software-engineer ## About the Role * Bachelor's degree in computer science, software engineering, or related field; equivalent practical experience acceptable \n * 7+ years of professional software development experience with at least 2+ years in a senior or lead role \n * Extensive hands-on expertise in Python, including frameworks such as Django, FastAPI, and Flask \n * Proven track record across the full software development lifecycle-requirements gathering, architecture, coding, testing, deployment, and support \n * Strong experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI) \n * Deep expertise in containerization and orchestration technologies (Docker, Kubernetes) for scalable, portable environments \n * Experience integrating AI APIs/models (e.g., OpenAI LLMs, Claude, Harvey) into production legal applications \n * Proficiency in web technologies, including TypeScript/JavaScript, and familiarity with frameworks like NextJS (preferred) \n * Cloud deployment experience across Azure, AWS, or Google Cloud, with a focus on security compliance in regulated sectors \n * Familiarity with MLOps practices, model lifecycle management, and infrastructure-as-code (Terraform, Bicep, CloudFormation) \n * Knowledge of legal or financial industry security standards, with experience supporting sensitive data workflows and e-discovery processes \n, * Master's degree in a related field \n * .NET development experience (C#, ASP.NET Core), especially in legacy or migration projects \n * Experience with Microsoft 365 integrations, including Microsoft Graph and Copilot \n * Building RAG pipelines, multi-agent systems, or agentic workflows \n * Knowledge of legal, financial services, or other highly regulated industries with stringent security requirements \n * Experience with MLOps pipelines and model lifecycle management tools \n ## Description This senior software development leadership position involves architecting, developing, and maintaining advanced legal applications, AI-powered features, and automation systems. The successful candidate will directly contribute to building scalable, secure, and efficient software solutions while guiding a specialized tech team. This role offers the opportunity to influence cutting-edge AI integration and system architecture in a dynamic, regulated environment., n \n * Lead end-to-end design, development, and deployment of custom legal and AI-driven applications, from requirements analysis to production support \n * Architect, implement, and optimize CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI to facilitate rapid, reliable software releases \n * Design, deploy, and manage containerized environments (Docker, Kubernetes) supporting scalable and portable applications in cloud or hybrid infrastructures \n * Champion responsible AI development practices, including integrating large language models (LLMs), RAG pipelines, and agentic workflows into legal software solutions \n * Develop and refine evaluation methodologies for AI system quality, including accuracy assessment, hallucination risk mitigation, and compliance with security standards \n * Mentor developers through code reviews, pairing, and technical coaching, emphasizing Python best practices and full lifecycle development skills \n * Collaborate with legal professionals and IT leadership to translate business needs into robust technical solutions \n * Identify, prioritize, and remediate technical debt, security vulnerabilities, and system bottlenecks within critical software environments \n * Lead design and implementation of AI/LLM-powered features, such as document classification, e-discovery automation, and AI-assisted legal research tools \n * Conduct comprehensive testing (unit, integration, and end-to-end) to ensure high-quality deliverables in regulated industry environments \n