Senior AI/ML Engineer
True Talent Solutions Partners · San Francisco · Onsite
Strong hiring record · median 1 days open
All reasons
In its favour
- Posted today
- Still listed on the employer's own board
- Publishes a salary range
About the Role
Join an AI-focused team building the systems layer for a process intelligence platform. You will turn complex enterprise data into reliable, useful product experiences powered by hosted AI models.
What You'll Do
- Build and maintain production AI services and pipelines, including retrieval, context construction, model selection, structured extraction, and orchestration.
- Develop evaluation datasets, benchmarks, regression tests, guardrails, and fallback paths to measure and improve AI quality.
- Monitor and debug production systems, addressing latency, cost, failures, and reliability.
- Work across the pipeline from customer data to generated outputs, iterating on product features using customer feedback.
- Make pragmatic build-versus-buy and refactoring decisions while owning projects from design through deployment and monitoring.
What We're Looking For
- Four or more years of applied AI, ML, or production software engineering experience, with sustained ownership of shipped systems used by customers.
- Strong Python skills, experience with asynchronous services, and familiarity with typed languages such as Go, C++, Java, Scala, or C.
- Hands-on experience with hosted LLM APIs, RAG and retrieval, vector search, structured outputs, or agent orchestration.
- Experience building AI evaluations or benchmarks and improving systems through regression testing, human review, or other quality measures.
- Ability to reason end to end across data pipelines and user-facing product behavior, and to communicate clearly with customers.
- Experience with production product engineering and customer feedback, ideally in an early-stage or fast-moving environment.
- A bachelor's degree or higher in computer science, engineering, or a related technical field.
- Relevant tools and technologies include PostgreSQL, Redis, GCP, Terraform, Docker, Datadog, React, TypeScript, and AI model APIs.
- Experience with enterprise documents, multimodal inputs, or process and workflow systems is helpful.
Compensation & Benefits
Base salary
$180,000 to $275,000 USD annually. Visa sponsorship is available.
Location
On-site in San Francisco, California.
Skills
- Azure AI Services
- Machine Learning
- Python
- Go
- C++
- Java
- Scala
- C
- LLM
- Retrieval-Augmented Generation
- PostgreSQL
- Redis
- GCP
- Terraform
- Docker
- Datadog
- React
- TypeScript
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