Agent Based Modeling Jobs in Colorado (NOW HIRING)

Join the Legal Tech Revolution atLitera

Are you ready to shape the future of how law is practiced? At Litera,we'reon a missionto RaiseTheBar 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 positioninbased 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.
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