Help define the technical roadmap for AI adoption, contributing to build-vs-buy decisions, vendor evaluations, and architectural direction
Architect multi-agent systems and agentic workflows using tool use, function calling, planner-executor pipelines, agent swarms, and autonomous task decomposition
Build and maintain AI skills: self-contained automation workflows that run in their own execution context with quality assurance verification
Design context management strategies including RAG, semantic search, vector embedding pipelines, conversation compaction, long-term memory management, and grounding
Extend our MCP server network with new tool integrations, dynamic server discovery, gateway architectures, OAuth 2.1 auth flows, audit logging, and sandboxed execution
Build real-time streaming interfaces that surface AI-generated insights, citations, and structured outputs
Engineer solutions for large-scale data challenges across millions of documents, patent databases, and enterprise systems
Implement guardrails, evaluation pipelines, and data governance standards appropriate for a regulated legal environment
Evaluate and integrate new models, APIs, and capabilities as they ship from Anthropic, Microsoft, and other providers
Act as an internal AI consultant: gather requirements from attorneys and legal staff, translate business needs into technical solutions, and deliver AI-powered workflow systems that streamline legal and operational processes

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field preferred
Proven experience in AI architecture, agent-based systems, or intelligent automation, with a minimum of 5 years in a similar role
Demonstrated experience building agentic AI systems with tool use, function calling, and multi-step workflow execution in production
Strong working knowledge of the Anthropic platform (Claude models, Messages API, streaming, extended thinking, Claude Agent SDK)
Experience with Microsoft AI services (Azure OpenAI, Azure AI Foundry, Semantic Kernel, or related offerings)
Experience with MCP or similar AI-to-tool integration frameworks (LangChain, LlamaIndex, CrewAI, custom pipelines, or equivalent)
Experience building RAG pipelines, semantic search, and document intelligence workflows at scale
Proficiency with real-time streaming architectures (SSE, WebSockets, Streamable HTTP) and enterprise auth (OAuth 2.0/2.1, Azure AD/Entra ID)
Ability to work across the stack: backend APIs, streaming infrastructure, frontend interfaces
Proficiency with AI-native development platforms (Claude Code, GitHub Copilot, Cursor, or similar) over expertise in any single language
Track record of independently solving complex, ambiguous problems and shipping working solutions
Experience with the professional services industry is a plus.

Senior AI Developer

Key skills