Senior Software Development Engineer

About this role

Gibson Dunn is a leading global law firm, advising clients on significant transactions and disputes. Our exceptional teams craft and deploy creative legal strategies that are meticulously tailored to every matter, however complex or high-stakes. The firm’s work is distinguished by a unique combination of precision and vision.

Based in New York City or Washington, D.C., the Senior Software Development Engineer designs, architects, builds, and leads the delivery of enterprise applications and shared platform capabilities, serving as a technical leader responsible for driving engineering excellence, scalable architecture, and successful delivery of complex software initiatives. This role is ideal for an engineer who enjoys building user-centric software solutions and integrating cutting-edge capabilities into scalable enterprise applications. The role works in close partnership with the firm’s AI Platform Engineering team to design and build agentic workflows – systems that plan, invoke tools, and carry out multi-step work on behalf of attorneys and business professionals.

Primary applications and platforms include:

• CI/CD, Source Control & Test Automation: Git, JFrog Artifactory; automated testing, CI/CD pipelines, release management, and observability tooling

• Infrastructure as Code: Terraform, Bicep

• Cloud & Orchestration: Microsoft Azure (App Services, Functions, API Management, Azure SQL, Cosmos DB, Storage Accounts); Docker, Kubernetes (AKS)

• AI Inference & Application Infrastructure: The firm's proprietary LLMs and model gateway services, retrieval and hybrid search, vector databases, chat interfaces, agent orchestration frameworks (e.g., LangGraph, Semantic Kernel), and Model Context Protocol (MCP)

• AI Evaluation & Quality: LLM evaluation tooling, eval harnesses, and regression suites for non-deterministic systems

• Enterprise Systems & Integration: Document management, knowledge repositories, search services, and firm business applications

• Languages & Frameworks: C#, .NET, Python, JavaScript, TypeScript; React, Angular, or similar front-end technologies

Responsibilities include:

Application Development

• Build user-facing applications, APIs, and services that enable attorneys and business professionals to leverage capabilities securely and effectively.

• Develop solutions that integrate generated insights into existing legal, business, and knowledge management workflows.

• Design, develop, and maintain enterprise-grade software applications that consume and interact with Gibson Dunn’s proprietary LLMs, services, and intelligent agent frameworks.

Architecture & Technical Strategy

• Define the long-term technical strategy and lead the architecture for enterprise applications and shared platforms.

• Drive technical direction across multiple engineering teams and strategic initiatives.

• Make architectural decisions balancing scalability, maintainability, security, and performance.

• Evaluate emerging technologies and recommend adoption where appropriate.

• Translate legal and business workflows into agent-assisted experiences, exercising judgment about where an agent adds real value and where deterministic software remains the better answer.

Agentic Workflow Engineering

• Design and build agentic workflows that plan, call tools, and execute multi-step legal and business tasks, including the tool and Model Context Protocol (MCP) interfaces that expose firm systems to agents under correctly scoped permissions.

• Build the orchestration around agent runs, including state management, retries, checkpointing, and safe recovery for long-running and asynchronous work.

• Design human-in-the-loop review, approval, and override points so attorneys retain control over consequential actions and agent output remains verifiable.

• Define evaluations and regression tests for agent behavior, instrument runs end to end (traces, tool calls, tokens, latency, cost), and tune for quality and unit economics alongside AI Platform Engineering.

Full-Stack Engineering

• Develop modern web applications and services using contemporary front-end and back-end technologies.

• Create responsive and intuitive user experiences that simplify interaction with complex capabilities.

• Design and implement reusable application components, services, and integration patterns that support scalability and maintainability.

• Establish enterprise application architecture standards, reusable engineering frameworks, and design patterns across teams.

• Review technical designs and provide guidance on implementation approaches.

API & Platform Integration

• Integrate enterprise applications with internal platforms, knowledge repositories, document management systems, search services, and business applications.

• Develop secure APIs, microservices, and middleware components that facilitate communication between services and enterprise systems.

• Collaborate with platform and engineering teams to operationalize new capabilities and services.

• Build on the AI platform’s model gateway, retrieval, and evaluation services rather than standing up parallel capability, and work with AI Platform Engineering to close genuine gaps in the platform.

Software Engineering & Delivery

• Lead multiple strategic engineering initiatives while establishing engineering standards and delivery best practices across teams.

• Drive sprint planning, technical estimation, and delivery planning.

• Champion engineering best practices including automated testing, CI/CD, observability, and release management.

• Identify technical debt and develop long-term modernization strategies.

• Extend testing and release practices to non-deterministic systems, including evaluation-based quality gates, staged rollout, and rollback plans for agent capabilities.

Security & Compliance

• Build solutions that adhere to firm security standards, data governance policies, confidentiality requirements, and client obligations.

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