Litera
Senior AI Software Engineer
Denver, CO · Senior
Sponsorship not specifiedDetected 30 days ago
PythonGitSQLPostgreSQLVector DatabasesAzureRESTTensorFlowPyTorchscikit-learnLLMsRAGAgentic AILangGraphAI OrchestrationCybersecuritypytest
About the role
- 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.
Responsibilities
- Lead the design and development of enterprise-grade GenAI solutions, owning architecture decisions, technical patterns, and platform standards.
- 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.
Requirements
- Required Experience
Nice to have
- Act as technical authority on LLMs, agentic systems, and emerging AI technologies, guiding adoption decisions and technical direction across engineering.
- Contribute high-quality, scalable, and secure code with a strong focus on maintainability and reliability.
- 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.
Skills
- 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.
- Education & Working
This listing is sourced directly from Litera's careers page and normalized into a canonical job model.