Senior AI Software Engineer

About this role

Job Description

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.  

Key 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.  

Required Experience  

• 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 ).  

Preferred Skills :  

• 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.  

Education &   Working Style :  

• Degree in Computer Science, Software Engineering, or equivalent practical experience .  

• Strong   systems   thinking, technical judgment, and problem-solving ability .  

• Comfortable operating autonomously while influencing across teams .  

• Proven ability to manage complexity, prioritize effectively, and deliver at scale .  

Why Join Litera?  

• 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.  

Pay Transparency Notice for Colorado Applicants: The annual salary range for this position is $150,000 to $184,000 . This role is also eligible to participate in a company bonus plan . Actual compensation is determined by factors including education, work experience, certifications, and other relevant qualifications

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