As a Senior Software Engineer on the AI Platform team, you'll build and ship features across Ridgeline's agentic AI platform, the foundational AI infrastructure that powers AI capabilities across the company. You'll work alongside the engineers who built it from the ground up. Together, you'll take on some of the most interesting problems in applied AI, including agent memory, and how models reason, call tools, and collaborate with one another, all as part of a tight-knit team whose work reaches across the entire company.
What will you do?- Build and ship features across the AI platform, including agent builder capabilities, agent memory, cost guardrails, and expanded tool integrations.
- Implement and improve retrieval-augmented generation (RAG) workflows and integrations with external data sources, including via Model Context Protocol (MCP).
- Contribute to model efficiency work such as code execution and model routing to optimize token usage and cost.
- Partner closely and regularly with cross-functional teams - including other AI teams, product teams, platform teams, and security - to extend AI capabilities across the company.
- Use AI-assisted development tools as a core part of your daily workflow.
- Collaborate closely with teammates through code review, knowledge-sharing, and solving problems together.
Desired Skills and Experience- 4+ years of professional software engineering experience building and shipping production applications.
- Proficiency in a statically typed language such as Kotlin or TypeScript; full-stack experience (including React) is a plus.
- Comfort using AI coding tools as part of your everyday development workflow.
- Strong collaboration and communication skills, with the ability to work closely across multiple partner teams in a fast-moving environment.
- Ability to ramp up quickly in a new codebase and deliver independently.
- Familiarity with platform or service-oriented engineering practices.
Bonus- Experience building and shipping AI-powered products in production, including agentic workflows, tool calling, or RAG.
- Experience working with Anthropic and/or OpenAI models and APIs.
- Experience with MCP (Model Context Protocol) or similar tool-integration frameworks.
- Background or interest in financial services or investment management.
Compensation and BenefitsThe typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below.
The typical starting salary range for this role is: $153,000-$191,000.
The typical starting salary range for this role in the select locations listed above is: $168,000-$210,000.
Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.
As an employee at Ridgeline, you'll have many opportunities for advancement in your career and can make a true impact on the product.
In addition to the base salary, Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits.
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