Senior Software Development Engineer

Primary applications and platforms include

• Microsoft Azure, including Azure App Services, Azure Functions, Azure API Management, Azure SQL, Cosmos DB, and Storage Accounts
• C#,.NET, Python, JavaScript, and TypeScript
• React, Angular, or similar front end technologies
• Large language models, retrieval augmented generation, and AI enabled applications
• Agent orchestration frameworks, including LangGraph and Semantic Kernel
• Model Context Protocol
• Vector and hybrid search technologies
• Docker and Kubernetes
• Terraform and Bicep
• Git based source control and CI/CD platforms
• Data pipeline, machine learning, and MLOps tooling
• AWS services, including SageMaker, Glue, Athena, Lambda, ECS, and S3

Responsibilities include

Application Development & Architecture

• Designing, developing, and maintaining enterprise-grade applications, APIs, services, and shared platform capabilities.
• Developing AI-enabled solutions that integrate the firm's proprietary large language models, services, retrieval capabilities, and intelligent agent frameworks into legal and business workflows.
• Leading the technical architecture and end-to-end delivery of complex software initiatives from rapid prototyping and proof of concept through production implementation.
• Defining technical strategies and architecture patterns that balance scalability, maintainability, security, reliability, and performance.
• Translating complex legal and business workflows into scalable technical solutions, including determining where AI-enabled or agent-assisted solutions can provide meaningful value.
• Automating manual and email-driven processes through data-integrated workflows and intelligent decision support.
• Evaluating emerging technologies and recommending adoption where appropriate.

AI & Agentic Workflow Engineering

• Designing and building agentic workflows that plan, invoke tools, and execute multi-step legal and business processes.
• Developing tools and Model Context Protocol interfaces that securely connect AI agents with firm systems and data.
• Building orchestration capabilities including state management, retries, checkpointing, human review, approvals, and safe recovery for long-running workflows.
• Develop, deploy, and maintain AI-powered applications, large language model (LLM) solutions, retrieval-augmented generation (RAG) architectures, intelligent agents, and workflow automation capabilities that support legal and business functions across the firm.
• Establishing evaluation, testing, monitoring, and quality standards for AI-enabled and non-deterministic systems.
• Partnering with AI Platform Engineering to leverage shared model gateway, retrieval, evaluation, and orchestration services.

Full-Stack, Data & Integration Engineering

• Developing modern web applications and services using contemporary front-end and back-end technologies.
• Designing reusable application components, services, APIs, microservices, and integration patterns.
• Integrating applications with internal platforms, document and knowledge management systems, search services, and other enterprise applications.
• Building and maintaining data pipelines that transform structured and unstructured information for retrieval, evaluation, machine learning, and real-time inference.
• Applying machine learning, natural language processing, and document-understanding techniques where appropriate.
• Partnering with AI Platform Engineering on MLOps practices including model deployment, monitoring, drift detection, and retraining.

Software Engineering, Security & Operations

• Establishing and championing engineering standards and best practices including automated testing, CI/CD, observability, release management, and secure development.
• Leading technical design and architecture reviews and providing guidance on implementation approaches.
• Building solutions in accordance with firm security standards, data governance policies, confidentiality requirements, and client obligations.
• Implementing appropriate authentication, authorization, auditing, monitoring, and least-privilege access controls.
• Designing appropriate human oversight and safety controls for AI-enabled applications, including protections against prompt injection, data exfiltration, and unintended actions.
• Monitoring and optimizing application performance, scalability, reliability, and user experience.
• Leading production incident investigations, root cause analyses, and long-term resiliency improvements.

Collaboration & Technical Leadership

• Partnering with attorneys, business stakeholders, product owners, architects, and engineers to understand business needs and translate them into technical solutions.
• Leading discovery and design discussions to identify high-value automation and AI opportunities.
• Presenting technical concepts, solution approaches, business value, and associated risks to executive and non-technical stakeholders.
• Mentoring engineers through code reviews, technical coaching, architecture discussions, and design guidance.
• Influencing engineering standards, technology roadmaps, and software development best practices across teams.
• Building consensus across engineering, infrastructure, information security, and business teams.

Qualifications

• Experience developing applications within Microsoft Azure environments.
• Hands-on experience with agent frameworks, orchestration tooling, Model Context Protocol, and evaluation frameworks for non-deterministic systems.
• Hands-on experience with a second major cloud platform - for example AWS (SageMaker, Glue, Athena, Lambda, ECS, S3)
• Experience with data engineering, machine learning, MLOps, natural language processing, or document-understanding technologies.
• Experience delivering technology in regulated or audited environments, including model validation or compliance-driven oversight requirements
• Extensive experience designing and developing web applications, APIs, microservices, and distributed systems.
• Demonstrated experience designing scalable enterprise architectures and leading technical delivery for complex, cross-functional initiatives.
• Experience translating ambiguous business requirements into scalable technical solutions and leading initiatives from prototype through production.
• Experience building production software using large language models, including retrieval, tool or function calling, and orchestration of multi-step workflows.
• Strong understanding of software architecture, object-oriented design, distributed systems, application performance, and reliability.
• Experience with source control, Git workflows, automated testing, CI/CD pipelines, and DevOps practices.
• Demonstrated ability to mentor engineers, influence technical direction, and establish engineering standards.
• Strong communication skills with demonstrated experience partnering with technical, business, and executive stakeholders.

Experience

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
• 10 to 15 years of progressive experience designing, developing, and leading the delivery of enterprise software applications.
• Strong proficiency in one or more modern programming languages such as C#,.NET, Python, JavaScript, or TypeScript.
• Relevant Microsoft Azure, software development, or cloud certifications are a plus.

Compensation & Benefits

• The annual compensation range for this position is $180,000 - $230,000. The salary offered within this range will depend upon qualifications and other operational considerations.
• Benefits offered for this position include health care; retirement benefits; paid days off, including sick time, and vacation time; parental leave; basic life insurance; Flexible Spending Accounts; as well as discretionary, performance-based bonuses.
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