Senior AI/ML Platform Engineer - Production Systems

Raydar; San Francisco (CA); On-site; USD 180,000 - 275,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

Raydar, a fast-growing software company, is hiring to own the applied AI layer of a software platform. You will build production AI services on hosted language models, focusing on data retrieval, structured extraction, quality measurement and monitoring in live use.

The role requires 4–6+ years building production software or AI systems, strong Python, and hands-on experience shipping AI/ML to production. On-site in San Francisco, full-time, with equity and benefits.

Qualifications

• 4 to 6+ years building production software, machine learning systems or applied AI systems.
• Strong Python skills, including building and maintaining services and using async patterns.
• Track record of shipping AI/ML systems to production with sustained ownership.
• Hands-on experience creating evaluation suites, benchmarks or automated testing and delivery workflows for ML products.
• Proven experience with retrieval-augmented generation, retrieval or agent orchestration.
• Experience turning hosted language model APIs into product behavior through structured outputs, tool use or multi-step workflows.
• Bachelor's degree or higher in a technical discipline such as computer science or engineering.
• Ability to work on-site five days a week.

Responsibilities

• Build and run production AI services and pipelines that convert unstructured inputs into structured results.
• Design retrieval and context-assembly approaches for language model features.
• Select among model providers and manage latency, cost, retries and failure handling.
• Create evaluation datasets, regression tests, launch gates and fallback paths to keep output quality high.
• Investigate problems stemming from inputs or model behavior, and add guardrails that reduce errors and enforce constraints.
• Develop multi-step, tool-using workflows and monitor them in production.
• Turn loosely defined product goals into experiments, measurable results and shipped improvements.
• Talk with users directly, collect their feedback and refine features accordingly.

Skills

Python

Async patterns

Production ML

Evaluation suites

Retrieval-augmented generation

Agent orchestration

Tool use

System thinking

Communication

Leadership projects

Education

Bachelor's degree in CS or engineering

Tools

Go

C++

Java

Scala

C

Job description

Raydar, a fast-growing software company, is hiring to own the applied AI layer of a software platform. You will build production AI services on hosted language models, focusing on data retrieval, structured extraction, quality measurement and monitoring in live use.

The role requires 4–6+ years building production software or AI systems, strong Python, and hands-on experience shipping AI/ML to production. On-site in San Francisco, full-time, with equity and benefits.