Senior AI/ML Engineer

True Talent Solutions Partners; San Francisco (CA); Remote; USD 180,000 - 275,000; Full time

Job summary

True Talent Solutions Partners is seeking a seasoned AI software engineer to join our venture-backed enterprise AI platform team. You will build and maintain production AI services, turning messy enterprise data into reliable AI-powered product experiences.

You will own projects end-to-end, from design to deployment, and collaborate across teams while optimizing latency, cost, and reliability. Remote work within the US is supported, with San Francisco as the primary location.

Qualifications

• Four to ten years of applied AI, ML, or software engineering experience.
• Experience delivering customer-facing production systems.
• Strong Python skills and asynchronous services experience.
• Familiarity with hosted LLM APIs (OpenAI, Anthropic, Gemini, Cohere).
• Experience with RAG, vector search, embeddings, or agent orchestration.
• Proficiency with production software engineering tools (Go, PostgreSQL, Redis, React, TypeScript, GCP, Terraform, Docker, Datadog).
• Bachelor's or higher in CS/Engineering or related field.

Responsibilities

• Build and maintain production AI services and pipelines from data ingestion to outputs.
• Develop evaluation datasets, benchmarks, and guardrails for AI quality.
• Monitor production behavior addressing latency, cost, and reliability.
• Work across the full pipeline from raw data to generated outputs.
• Own projects from design through deployment and monitoring.

Skills

Python

Asynchronous services

Customer-facing ownership

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Go

PostgreSQL

Redis

React

TypeScript

GCP

Terraform

Docker

Datadog

Job description

About the Role

Join the applied AI team at a venture-backed enterprise AI software company to build the systems layer behind a process intelligence platform. You will turn messy enterprise data into useful, measurable, and reliable AI-powered product experiences.

What You'll Do

• Build and maintain production AI services and pipelines, including retrieval, context construction, structured extraction, orchestration, and model provider selection.

• Develop evaluation datasets, benchmarks, regression tests, guardrails, and fallback paths to measure and improve AI quality.

• Monitor and troubleshoot production behavior, addressing latency, cost, reliability, and failures.

• Work across the full pipeline from raw customer data to generated outputs, incorporating customer feedback into product improvements.

• Take ownership of projects from design and implementation through deployment, measurement, and ongoing monitoring.

What We're Looking For

• Four to ten years of applied AI, ML, or software engineering experience, including sustained ownership of customer-facing production systems.

• Strong Python skills, experience with asynchronous services, and hands-on integration of hosted LLM APIs such as OpenAI, Anthropic, Gemini, or Cohere.

• Experience with RAG, retrieval, vector search, embeddings, context construction, or agent orchestration, plus AI evaluations or CI/CD for AI/ML systems.

• Proficiency with production software engineering and familiarity with tools such as Go, PostgreSQL, Redis, React, TypeScript, GCP, Terraform, Docker, or Datadog.

• A bachelor's degree or higher in computer science, engineering, or a related technical field, and experience delivering product improvements based on customer feedback.

• Systems thinking, clear communication, and a pragmatic approach to shipping, technical debt, and ambiguous product problems; multimodal or enterprise workflow experience is a plus.

Compensation & Benefits

Base salary is $180,000 to $275,000 USD annually. Visa sponsorship is available.

Location

Remote within the United States, with San Francisco, California as the primary location.