Senior Software Engineer, AI Enablement
Company: Forerunner
Location: San Francisco, CA (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-09-16
About this role
About The Role
As a
Senior Software Engineer
on the
AI Enablement
team, you will build the internal platforms, primitives, and guardrails that make AI a trusted co-pilot for employees across Chime.
You’ll work on systems like
Archimedes
,
Bosun
, and
easyRAG
that power internal AI assistants, developer workflows, and retrieval-backed applications. These platforms make it easier for teams across the company to build, adopt, and scale LLM-powered tools safely and effectively.
This team defines Chime’s
golden paths for AI
: opinionated but flexible patterns that help teams move quickly while maintaining safety, reliability, cost control, and governance. In this role, you’ll help turn emerging AI capabilities into durable, reusable platform features that can be adopted across the company.
You’ll partner closely with
Platform Engineering, Security, Risk, Legal, and product teams
to build scalable, well-governed systems that support internal AI use cases from early prototyping through production adoption.
The base salary offered for this role and level of experience will begin at $164,000.00 and up to $227,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
- Build and evolve internal AI platforms such as Archimedes, Bosun, and easyRAG, enabling teams to develop and scale LLM-powered applications and workflows
- Design and implement reusable platform capabilities such as APIs, SDKs, templates, and shared services that make it easier to build safe, high-quality AI-powered tools
- Prototype and productionize new AI capabilities, identifying high-leverage use cases and turning successful patterns into durable platform features
- Define and improve Chime’s golden path patterns for LLM usage, balancing developer velocit...