Note: The job is a remote job and is open to candidates in USA. Milbank LLP is a law firm seeking a Senior AI/.NET Engineer to architect, build, and maintain cloud-native applications and AI-powered solutions. The role involves technical leadership, mentoring developers, and integrating AI capabilities to enhance business workflows.
Responsibilities
- Architect and develop robust, scalable, production-grade applications in C# using .NET / .NET Core, NET Core, and modern application frameworks
- Lead the design, integration, and deployment of AI-powered features and AI agents that automate tasks, reason over enterprise data, and augment user workflows
- Design and orchestrate AI solutions using services such as Azure OpenAI, Azure AI Services, and agent frameworks (e.g., Semantic Kernel, Microsoft Agent Framework / AutoGen, or the OpenAI/Anthropic SDKs)
- Implement retrieval-augmented generation (RAG), advanced prompt engineering, tool/function calling, and vector-based search to ground AI on enterprise content
- Establish engineering standards, conduct code reviews, and mentor junior and mid-level developers
- Partner with stakeholders and architects to translate business requirements into technical designs and delivery roadmaps
- Integrate AI capabilities responsibly, incorporating security, privacy, evaluation, and governance considerations throughout
Skills
- Deep, demonstrable expertise developing production applications in C# with .NET / .NET Core and NET Core
- Proven experience building or integrating AI/LLM-based solutions— including prompt engineering, function/tool calling, RAG patterns, and working with model APIs (Azure OpenAI, OpenAI, or similar)
- Hands-on experience with AI agent development— designing agents that plan, call tools, maintain context, and execute multi-step tasks (e.g., via Semantic Kernel, Microsoft Agent Framework, AutoGen, or LangChain-style orchestration)
- Strong experience with application development for Azure, including App Services, Azure Functions, Logic Apps, Key Vaults, Storage Accounts, and Azure DevOps pipelines
- Strong experience with Azure SQL and T-SQL, including designing SQL database objects, stored procedures, user-defined functions, and integrated security; familiarity with vector data stores (e.g., Azure AI Search, Cosmos DB) is a plus
- Solid command of DevOps and CI/CD pipelines and version control systems such as Git, including branching strategies and release management
- Proficiency developing in Visual Studio (and/or VS Code)
- Mastery of all phases of the software development life cycle (SDLC)— architecture, design, implementation, testing, deployment, and documentation — and the ability to embed security considerations into every phase
- Strong experience with Web Services, RESTful APIs, and SOAP APIs to integrate applications with vendor and enterprise systems
- Demonstrated technical leadership — mentoring developers, owning architectural decisions, and driving best practices across a team
- Excellent problem-solving abilities and an aptitude for rapidly learning and evaluating emerging technologies, especially in the fast-moving AI space
- Effective interpersonal and written/verbal communication skills, with the ability to communicate technical concepts to both technical and non-technical audiences, and close attention to detail
- Bachelor's degree in Computer Science or a related field
- Minimum of four years of professional software development experience, including hands-on delivery with C#/.NET; demonstrated experience building AI/LLM-based solutions strongly preferred
- Experience delivering AI/agentic solutions for real business processes (document analysis, summarization, intelligent automation, copilots) at production scale
- Experience working with legal, financial, and HR systems, applications, and databases
- Experience with client-side technologies such as HTML5, JavaScript, and CSS
- Experience with client-side development using JavaScript/TypeScript and modern frameworks such as React, plus HTML5 and CSS
- Experience with legal desktop applications including document management systems, legal workflows, onboarding workflows
- Working knowledge of Responsible AI practices — evaluation, guardrails, content safety, and cost/performance optimization of AI workloads
Benefits
- Workplace Type: Remote
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