Senior AI Engineer

Litera

6d • $150,000 - $184,000 • Hybrid

About The Position

Join the Legal Tech Revolution at Litera Are you ready to shape the future of how law is practiced? At Litera, we’re on a mission to Raise The Bar™️ for the legal profession by delivering transformational and globally-trusted solutions to law firms and corporate legal teams worldwide. We’ve been a leader in legal tech innovation for 30 years and are leading the legal AI revolution to this day with most of the world’s largest law firms as our clients. If you’re passionate about building AI-forward solutions that scale globally and want your work to impact millions of legal professionals worldwide, this is your opportunity to be part of an extraordinary team that’s elevating the craft of law. Hybrid Role: This position in based in Denver, CO and candidates should reside within reasonable commuting distance, as this role requires on-site presence at least three days per week. The Opportunity The Generative AI Innovation Team is transforming how Litera—and its clients—leverage data for competitive advantage. As a Senior AI Engineer, you will play a critical role in shaping Litera’s GenAI strategy, architecture, and technical standards across both customer-facing products and internal platforms. In this role, you will serve as a technical leader and subject-matter expert, partnering closely with engineering, product, security, and business teams. You will guide the design, development, and responsible adoption of Generative AI solutions, ensuring scalability, security, and long-term value. This is a high-impact opportunity to drive innovation at scale within a market-leading organization.

Requirements

• 6+ years of professional software development experience, with at least 2 years focused on production GenAI systems and applications.
• Deep, hands-on experience with Large Language Models — including context engineering, prompt design, structured outputs, and LLM evaluation.
• Experience with LLM observability and evaluation tooling (e.g., LangSmith, RAGAS, Arize, PromptFlow) and the ability to define and track GenAI quality metrics in production.
• Proficiency in Python, with working experience in LangGraph and/or LangChain.
• Familiarity with agent-based and multi-agent orchestration architectures.
• Experience with enterprise SaaS RESTful APIs and cloud-based backend development.
• Comfortable with relational data stores (PostgreSQL preferred; Azure SQL or SQL Server also acceptable).
• Solid background in testing practices — including unit, integration, and evaluation-layer testing for AI systems (e.g., pytest).

Nice To Haves

• Hands-on experience building and shipping agentic workflows using LangGraph, Semantic Kernel, or comparable orchestration frameworks.
• Experience with LLM fine-tuning or working knowledge of PyTorch, TensorFlow, or scikit-learn at the application level.
• Strong foundation in RAG architectures, embeddings, vector databases, and semantic similarity.
• Experience evaluating or operationalizing AI-assisted development tooling (e.g., GitHub Copilot, Cursor) within engineering teams.
• Strong familiarity with software architecture principles, security best practices (OWASP Top 10), and SOLID design.

Responsibilities

• Lead the design and development of enterprise-grade GenAI solutions, owning architecture decisions, technical patterns, and platform standards.
• Act as technical authority on LLMs, agentic systems, and emerging AI technologies, guiding adoption decisions and technical direction across engineering.
• Evaluate, prototype, and document emerging tools, platforms, and techniques — recommending strategic investments aligned with Litera's roadmap.
• Own technical estimates, solution feasibility assessments, and delivery accountability for complex, cross-functional initiatives.
• Establish and maintain GenAI governance standards, including safety, security, and responsible use guidelines applicable to production deployments.
• Define and own LLM observability and evaluation standards — including tracing, quality metrics, and monitoring for production AI systems.
• Champion software engineering best practices including secure coding, design patterns, and performance optimization.
• Contribute high-quality, scalable, and secure code with a strong focus on maintainability and reliability.

Benefits

• A People-First Culture: We focus on helping each other grow, doing the right thing, and building solutions that amplify impact across the legal industry.
• Meaningful Work: Your contributions directly influence how legal professionals work, collaborate, and serve their clients.
• Global & Diverse Team: Collaborate with talented professionals around the world in an environment that values empathy, inclusion, and innovation.
• Comprehensive Benefits: Competitive healthcare, retirement plans, generous PTO, and work–life balance support your well-being and future.
• Career Growth: Clear technical and leadership career paths, continuous learning, and opportunities to expand your influence as AI continues to evolve.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level