AI Product Engineer

SPERTON - Where Great People Meet

. Own product features from problem discovery through architecture, implementation, deployment, and iteration .

Posted 9/29/2026full-timeSan Francisco • California • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong backend development capabilities with proficiency in Python and experience in building production systems end-to-end. Possesses the ability to translate user needs into technical solutions while operating autonomously in a fast-paced environment.

Highest-signal resume keywords

Backend DevelopmentPython ProgrammingKubernetes DeploymentDistributed SystemsAgentic AI Systems

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Backend DevelopmentPython ProgrammingGo ProgrammingProduction Systems DesignDistributed SystemsAI EvaluationModel OrchestrationTool ExecutionObservabilityFailure Handling

Soft Skills

Strong Product JudgmentHigh OwnershipInitiativeAutonomyUser Understanding

Tools & Technologies

KubernetesAWSHelmReactTypeScript

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceAdvanced Degree in Computer Science

Industry Keywords

HealthcareHealth-TechEarly-Stage StartupRapidly Scaling StartupCustomer-Facing Engineering

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsKubernetesPythonReactTypeScriptGo

About the role

Key responsibilities & impact

Own product features from problem discovery through architecture, implementation, deployment, and iteration
Build backend infrastructure and primitives for complex agentic AI workflows
Design reliable systems for long-running AI processes, including orchestration, state, tool execution, observability, evaluation, and failure handling
Build primarily in Python across the broader product stack
Use React/TypeScript as needed to ship complete user experiences
Deploy and operate production systems using Kubernetes and cloud infrastructure
Translate ambiguous user and customer needs into practical technical solutions
Make product and technical decisions without relying on a PM to define every requirement
Work closely with a small, highly autonomous engineering team
Understand users, evaluate tradeoffs, plan architecture, review systems, and decide what should be built

Requirements

What you’ll need

2–8 years of professional software engineering experience, ideally 4–6
Bachelor’s or advanced degree in Computer Science or a closely related technical field
Strong software engineering fundamentals
Strong backend development experience
Proficiency with Python or another modern backend language such as Go
Experience designing and shipping meaningful production systems end-to-end
Evidence of high ownership and initiative
Strong product judgment and ability to think about end-user impact
Comfort operating in a fast-moving environment with significant autonomy
Willingness to work in-office in San Francisco four days per week
Experience with agentic AI systems or LLM-powered applications, RAG, model orchestration, tool use, or AI evaluation is valuable
Experience with distributed systems and backend infrastructure is valuable
Experience with Kubernetes, AWS, Helm, or related infrastructure tooling is valuable
Experience with React and TypeScript is valuable
Healthcare or health-tech experience is valuable
Early-stage or rapidly scaling startup experience is valuable
Customer-facing or product-oriented engineering experience is valuable
Experience building products with limited PM involvement is valuable

Benefits

Comp & perks

Competitive compensation
Equity
Relocation support
Visa sponsorship for eligible candidates