Senior AI Software Engineer (AI)

TL;DR

Senior AI Software Engineer (AI): Building enterprise-grade Generative AI solutions across customer-facing products and internal platforms with an accent on LLM/agentic system architecture, production evaluation, and observability. Focus on designing scalable and secure GenAI governance, defining quality metrics, and delivering responsible adoption of LLM-based capabilities.

Location: Denver, CO (hybrid) — on-site presence at least three days per week; candidates should reside within reasonable commuting distance.

Salary: $150,000–$184,000 per year

Company

hirify.global delivers legal tech solutions and is building GenAI capabilities for law firms and corporate legal teams.

What you will do

• Lead design and development of enterprise-grade GenAI solutions, owning architecture decisions, technical patterns, and platform standards.
• Act as technical authority on LLMs and agentic systems, guiding adoption decisions and technical direction.
• Evaluate, prototype, and document emerging AI tools and techniques, recommending strategic investments aligned with the roadmap.
• Own technical estimates, feasibility assessments, and delivery accountability for complex cross-functional initiatives.
• Define GenAI governance standards for safety, security, and responsible production use.
• Define and own LLM observability and evaluation standards (tracing, quality metrics, and production monitoring).

Requirements

• 6+ years of professional software development, including at least 2 years focused on production GenAI systems and applications.
• Deep hands-on experience with Large Language Models: context engineering, prompt design, structured outputs, and LLM evaluation.
• Experience with LLM observability and evaluation tooling (e.g., LangSmith, RAGAS, Arize, PromptFlow) and defining GenAI quality metrics for production.
• Proficiency in Python, with working experience in LangGraph and/or LangChain.
• Experience with agent-based and multi-agent orchestration architectures.
• Comfort with enterprise SaaS RESTful APIs and cloud-based backend development; relational databases (PostgreSQL preferred; Azure SQL or SQL Server acceptable).

Nice to have

• Hands-on experience shipping agentic workflows using LangGraph, Semantic Kernel, or comparable orchestration frameworks.
• Experience with LLM fine-tuning and/or application-level knowledge of PyTorch, TensorFlow, or scikit-learn.
• Strong foundation in RAG architectures, embeddings, vector databases, and semantic similarity.
• Experience evaluating or operationalizing AI-assisted development tools (e.g., GitHub Copilot, Cursor) within engineering teams.
• Familiarity with software architecture principles, security best practices (OWASP Top 10), and SOLID design.

Culture & Benefits

• People-first culture focused on growth, doing the right thing, and building solutions with impact.
• Comprehensive benefits including competitive healthcare, retirement plans, generous PTO, and work–life balance support.
• 401(k) with company contribution and eligibility for a company bonus plan.
• Opportunities for continuous learning and clear technical/leadership career paths.

Hiring process

• Interviews and technical evaluation focused on GenAI architecture, LLM evaluation/observability, and production engineering practices.
• Discussion of collaboration across engineering, product, security, and business stakeholders.