| Location | Denver, Colorado |
| Salary | $150,000–$184,000 Per Year |
Job Description
Join the Legal Tech Revolution atLitera
Are you ready to shape the future of how law is practiced? At Litera,we’reon a missionto RaiseTheBar️ for the legal profession by delivering transformational andglobally-trusted solutionsto law firms and corporate legal teams worldwide.We’vebeen a leader inlegal techinnovation for 30 years and are leading the legal AI revolution to this day with mostof theworld’s largest law firms as our clients. Ifyou’repassionate about building AI-forward solutionsthat scale globally and want your work toimpactmillions of legalprofessionals worldwide, this is your opportunity to be part of an extraordinary teamthat’selevatingthe craftof law.
Hybrid Role: This position in based in Denver, CO and candidates shouldresidewithin 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 atscalewithin 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 withLitera'sroadmap.
Own technical estimates, solution feasibility assessments, anddeliveryaccountability for complex, cross-functional initiatives.
Establish and maintain GenAI governance standards, including safety, security, and responsibleuseguidelines applicable to production deployments.
Define and own LLM observability and evaluation standards — including tracing, quality metrics, and monitoring forproductionAI 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 onproductionGenAI 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.
Proficiencyin Python, with working experience inLangGraphand/orLangChain.
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 usingLangGraph, Semantic Kernel, or comparable orchestration frameworks.
Experience with LLM fine-tuning or working knowledge ofPyTorch, 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.
Strongsystemsthinking, 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. Litera offers a comprehensive benefits package including health, dental, and vision insurance, 401(k) with company contribution, and incentive and recognition programs. All benefits are subject to eligibility requirements.#LI-Hybrid
Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.