Base Salary
$150k - $184k/yr
Responsibilities
- Lead the design and development of enterprise-grade Generative AI solutions and own architecture decisions, technical patterns, and platform standards.
- Serve as a technical authority on LLMs, agentic systems, and emerging AI technologies across engineering.
- Evaluate, prototype, document, and recommend emerging AI tools, platforms, and techniques.
- Own technical estimates, solution feasibility assessments, and delivery accountability for complex cross-functional initiatives.
- Establish GenAI governance standards covering safety, security, and responsible production use.
- Define LLM observability and evaluation standards, including tracing, quality metrics, and production monitoring.
- Contribute secure, scalable, maintainable, and reliable software while championing engineering best practices.
Requirements
- 6+ years of professional software development experience, including at least 2 years focused on production GenAI systems and applications.
- Deep hands-on experience with LLMs, including context engineering, prompt design, structured outputs, and LLM evaluation.
- Experience with LLM observability and evaluation tools such as LangSmith, RAGAS, Arize, and PromptFlow.
- Proficiency in Python and working experience with LangGraph and/or LangChain.
- Experience with agent-based or multi-agent orchestration architectures and enterprise SaaS RESTful APIs.
- Experience with cloud-based backend development and relational data stores, preferably PostgreSQL or alternatively Azure SQL or SQL Server.
- Experience with unit, integration, and AI evaluation-layer testing, such as pytest.
- Degree in Computer Science or Software Engineering, or equivalent practical experience.
- Preferred experience includes LangGraph, Semantic Kernel, LLM fine-tuning, PyTorch, TensorFlow, scikit-learn, RAG architectures, embeddings, vector databases, semantic similarity, GitHub Copilot, Cursor, OWASP Top 10, and software architecture principles.
Benefits
- Hybrid work in Denver, Colorado, requiring on-site presence at least three days per week and residence within reasonable commuting distance.
- Competitive healthcare, retirement plans, generous paid time off, and work-life balance support.
- Health, dental, and vision insurance, 401(k) with company contribution, and incentive and recognition programs, subject to eligibility requirements.
- Clear technical and leadership career paths, continuous learning, and opportunities to expand influence.
- Eligibility to participate in a company bonus plan.
Tech Stack
Categories
About Litera
Litera is trusted Legal AI that best unifies the practice and business of law, built on 30 years of legal expertise that no AI startup can shortcut, and engineered for the decades ahead. The company combines purpose-built legal technology with Lito, its award-winning Legal AI agent, to Raise The Bar™ for the legal profession worldwide. With AI solutions spanning legal drafting, document comparison, contract review, knowledge management, business development, and more, Litera serves over 15,000 global customers and 2.3 million daily users, including 99% of the AmLaw 100. Integrated directly into Microsoft 365 and Google Workspace across devices, Litera delivers the right data, in the right place, at the right time - reducing context-switching so lawyers can practice law, not manage tools, while winning more business, driving efficiency and the deeper client relationships that fuel sustainable growth. For more information, visit litera.com or follow us on LinkedIn.