Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Full Stack Engineer role.
Rezi rewrites your resume against True Talent Solutions Partners's job description. Free.
Tailor your resume to this Full Stack Engineer role.
Rezi rewrites your resume against True Talent Solutions Partners's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Full Stack Engineer posting at True Talent Solutions Partners — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Full Stack Engineer posting at True Talent Solutions Partners — free, in seconds.
About the Role
Join a team building software infrastructure that helps organizations improve the reliability of AI agents in production. You will work across product and platform engineering, with a backend emphasis and ownership from customer problem discovery through delivery.
Responsibilities
- Build product experiences for agent investigations, evaluation workflows, trajectory debugging, verification, and replay.
- Work with customers to understand where their agents fail, define solutions, and iterate on shipped product.
- Develop APIs, data models, internal systems, and user-facing features across the full stack.
- Build systems that run large-scale investigations across production traces.
- Design platform capabilities such as workspaces, permissions, billing, usage, SDKs, and terminal-first developer workflows.
- Partner with teams building production AI agents and turn observed issues into product decisions.
Requirements
- Five to eight years of full-stack product engineering experience, with a backend-leaning profile and meaningful ownership across frontend and backend systems.
- Experience shipping polished product surfaces with React or Next.js, and building backend services with TypeScript, Python, or Node.js.
- Strong API design, data modeling, and production debugging skills; familiarity with PostgreSQL is useful.
- Hands-on experience with AI agents, LLM-powered products, or agentic systems, including relevant tooling such as evaluation or debugging tools.
- Ability to work directly with customers, influence product decisions, and deliver clean, consistent code in a fast-paced environment.
- Strong computer science fundamentals or equivalent academic preparation.
Skills
- React
- Next.js
- TypeScript
- Python
- Node.js
- API design
- Data modeling
- Production debugging
- PostgreSQL
- AI agents
- LLM-powered products
- Agentic systems
- Evaluation tools
- Debugging tools
Location
- San Francisco, California, United States
Work Type
- On-site
Experience Level
- 5-8 years
Education Level
- Computer science fundamentals or equivalent academic preparation
Salary/Compensations
- $230,000 to $300,000
Benefits
- Visa sponsorship is available.