AI Engineer

Senior Software Engineer – AI & LLMs

About the Role

We are seeking a Senior Software Engineer – AI & LLMs to design, build, and integrate AI-powered solutions within a sophisticated enterprise technology environment.

The ideal candidate is a strong software engineer with experience building and architecting enterprise applications who has expanded into AI/LLM engineering . This role requires strong Python skills and hands-on experience building production AI applications, agents, and LLM-powered workflows. Experience with C#/.NET and Microsoft-based enterprise applications is strongly preferred .

You will work across existing enterprise applications and new AI initiatives, integrating both externally hosted models and internally hosted LLMs into business-critical systems.

Responsibilities

• Design, develop, and deploy production-grade AI and LLM-powered applications using Python.
• Architect AI solutions that integrate with existing enterprise applications, APIs, databases, and business systems .
• Build AI agents, agentic workflows, and autonomous processes to automate complex business tasks.
• Design and develop custom MCP servers, tools, and integrations that allow AI systems to securely interact with enterprise applications.
• Build solutions utilizing OpenAI APIs as well as internally/self-hosted language models.
• Work with local model inference technologies such as Ollama, vLLM, Hugging Face, LM Studio, or similar platforms .
• Develop solutions utilizing RAG, embeddings, semantic/vector search, tool calling, prompt engineering, and LLM orchestration .
• Evaluate and optimize models and AI workflows for performance, reliability, security, and scalability.
• Develop evaluation and testing strategies for production AI applications.
• Establish best practices around agent development, MCP, AI tooling, model integration, and AI-assisted software development .
• Collaborate directly with technical and business stakeholders to translate complex requirements into scalable AI solutions.
• Evaluate emerging AI models, frameworks, developer tools, and infrastructure.
• Participate in architecture discussions, code reviews, troubleshooting, and knowledge sharing.

Qualifications

• 5+ years of professional software engineering, application development, or systems architecture experience.
• Strong hands-on development experience with Python .
• Experience with C#/.NET, ASP.NET, or another enterprise application development stack strongly preferred .
• Hands-on experience building production AI/LLM applications , rather than solely prototypes or proof-of-concept projects.
• Experience building AI agents, agentic workflows, or autonomous AI systems .
• Experience with MCP (Model Context Protocol) , including MCP servers, tools, or integrations.
• Experience working with OpenAI APIs and/or other leading LLM APIs.
• Experience with self-hosted or locally deployed LLMs using technologies such as Ollama, vLLM, Hugging Face, LiteLLM, or similar.
• Experience integrating AI into existing enterprise software and business applications .
• Understanding of RAG, embeddings, vector/semantic search, tool calling, prompt engineering, and AI evaluation .
• Strong knowledge of software architecture, APIs, databases, authentication, security, testing, and production development practices.
• Experience with Azure and/or AWS .
• Strong communication skills and the ability to collaborate with both technical and business stakeholders.

Preferred Qualifications

• Professional experience with C#/.NET, ASP.NET MVC/Core, SQL Server, and T-SQL .
• Experience modernizing legacy applications or adding AI capabilities to existing enterprise software .
• Experience with AI development tools such as Claude Code, Codex, OpenCode, or similar technologies .
• Experience creating reusable AI Skills, plugins, tools, or internal AI platforms .
• Experience with Microsoft Entra ID, OAuth, authentication/authorization, and secure service-to-service integrations .
• Experience with Docker, CI/CD, Azure DevOps, and containerized workloads .
• Experience with enterprise platforms such as iManage, Salesforce, SharePoint, Aderant, or Workday .
• Experience within the **legal industry, professional services, or another complex enterpri…