We’re seeking a product-minded Senior AI Engineer to build and scale production-grade AI agents and agentic systems across Goodwin. This hands-on, builder-first role owns problems end to end, from workflow discovery and system design through deployment, adoption, and continuous optimization, shipping full-stack solutions that are fast, reliable, and deliver measurable business impact. Above all, this is a role for a strong software engineer: we expect deep engineering fundamentals, sound system design, and a track record of shipping reliable production-grade software. This is a senior individual-contributor role for someone with the agency to take an ambiguous problem and drive it to a shipped, reliable system with minimal oversight. The position reports to the Director of Engineering and works closely with cross-functional teams, including other developers, architects, and business stakeholders.

What You Will Do:

• Own projects from zero to one as an engineer, covering problem framing, system design, implementation, deployment, monitoring, and iteration, with AI and agentic systems as the current focus.
• Embed with business/legal teams to map workflows, identify high-leverage bottlenecks, and streamline them using AI backed solutions
• Design agent architectures spanning tools and functions, memory and state, retrieval, and guardrails, using common LLM orchestration frameworks (such as LangChain/LangGraph, Microsoft Agent Framework, or LlamaIndex), and write prompts that are testable and versioned.
• Build full-stack features, primarily in C#/.NET, Python, and TypeScript/React, writing well-structured services, clean APIs, and tested code that make agents usable, safe, and fast for internal users. Adjacent language and framework experience transfers.
• Ship on Azure, today largely via Microsoft Azure AI Foundry and adjacent Azure AI services, owning model selection, evaluation, deployment pipelines, and production operations. Comparable experience with other major clouds transfers.
• Instrument quality by defining success metrics, building evals and test suites, reducing hallucinations and failure modes, and driving reliability over time.
• Perform comprehensive testing, debugging, and troubleshooting of AI agents to ensure quality and minimize defects.
• Partner with security and compliance to ensure responsible data handling, least-privilege access, and auditability.
• Document agent designs, architectures, and operational guidelines to ensure maintainability and knowledge transfer.
• Drive delivery with a disciplined engineering approach, applying a structured SDLC across design, development, testing, and deployment, and raise the bar for code quality, pragmatic architecture, and reliable operations.

Who You Are:

• Minimum 3–5 years building and shipping software to production; Bachelor’s degree or equivalent practical experience.
• Strong software engineering fundamentals, including data structures, system design, and testing, with full-stack coding ability in languages such as Python, C#, and modern TypeScript/React; consistently produces maintainable code, tests, and high-quality PRs.
• Experience running software in production, from CI/CD and observability to incident response, and applying that to deploying and operating LLM/agent solutions. Experience with Azure AI Foundry or adjacent Azure AI services is a plus, but comparable cloud/AI platform experience is welcome.
• Comfort with ambiguity, able to translate loosely defined problems into clear specs, milestones, and working systems.
• High ownership and a bias to action, focused on shipping, measuring impact, and iterating quickly over polishing demos.
• Strong communication skills, with the ability to engage effectively with both technical and non-technical stakeholders.
• High agency and a strong service orientation, able to run with loosely defined problems independently, manage competing priorities, and build effective working relationships with attorneys, staff, and technical partners across the firm.

What Would Set You Apart:

• Experience with RAG over internal documents (chunking, indexing, retrieval tuning) and evaluation of retrieval quality.
• Experience working autonomously in a culture that is builder minded and focused on quick delivery
• Experience integrating agents with internal systems via APIs, queues, and workflow tools, and working within a structured SDLC in an enterprise environment.
• Familiarity with security-focused or regulated environments (PII handling, least-privilege access, auditability), and setting up automated evals (golden sets, regression tests) for prompts and agents.

#LI-TV1

Benefits and More

At Goodwin, you will discover your next career opportunity with a rewarding compensation package and comprehensive benefits, including:

• Health, dental, and vision insurance

• Life and disability insurance

• Retirement & Savings Plan

• Emergency back-up child and adult care

• Paid vacation, sick time off, and holidays

• Professional development and career advancement opportunities

• Employee recognition and reward programs

• Employee wellness and assistance programs

• Employee discounts and perks