Sr Software Engineer II, AI
Role Overview
Join the AI team to build the in-house platform powering generative AI agents deployed across the business.
Contribute across the stack, including LLM serving and inference, RAG pipelines, evaluation harnesses, APIs, and production infrastructure.
Write production Python and tune systems for latency, throughput, cost, and observability.
Key Skills for This Role
Full Job Posting
Role Summary
Join the AI team to build the in-house platform powering generative AI agents deployed across the business.
Contribute across the stack, including LLM serving and inference, RAG pipelines, evaluation harnesses, APIs, and production infrastructure.
Write production Python and tune systems for latency, throughput, cost, and observability.
Workplace
- On-site work is required four days per week at the Denver or New York City office.
- Relocation support is not available.
Responsibilities
- Build production LLM-powered services and APIs with error handling, retries, and timeouts.
- Develop evaluation pipelines to measure quality regressions, hallucination rates, and task accuracy.
- Instrument services with logging, tracing, latency, token-usage, and error-rate metrics.
- Design agents for intent recognition, query decomposition, and sequential or parallel task execution.
- Integrate agents with internal systems, Salesforce, SpringServe, and DSPs.
- Build tools for media planning automation, self-service data access, and natural-language data queries.
- Participate in agile delivery and collaborate with product and business teams.
Required Skills and Qualifications
- Experience designing and developing generative AI agents.
- Expertise in intent detection, complex query decomposition, and context engineering.
- Experience building RAG systems, including low-level design and implementation.
- Understanding of knowledge graphs or vectorization as they relate to LLMs.
- Knowledge of LLM enterprise applications and foundational models such as Llama, Claude, and OpenAI.
- Cloud experience, particularly AWS, plus Databricks or Snowflake AI components.
- Experience working in an agile development environment.
Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
Compensation
- Tier 1 salary range is $185,000 to $264,000 per year for designated major metropolitan markets.
- Tier 2 salary range is $162,000 to $231,000 per year for other U.S. locations, including Denver.
- The role offers a bonus, with compensation varying by location, skills, experience, and internal equity.
Benefits
- Benefits include employer-paid medical, dental, and vision coverage, life and disability insurance, 401(k) matching, flexible time off, and paid parental leave.
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