AI Product Engineer

SPERTON - Where Great People Meet

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

Posted 10/5/2026full-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 designing and shipping production systems. Possesses the ability to translate user needs into technical solutions while operating autonomously in a fast-paced environment.

Highest-signal resume keywords

Backend DevelopmentPython ProficiencyKubernetes DeploymentAI Systems ExperienceProduct Judgment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Engineering FundamentalsProduction Systems DesignAgentic AI WorkflowsModel OrchestrationTool ExecutionObservabilityFailure HandlingReactTypeScriptGo

Soft Skills

High OwnershipInitiativeCollaborationUser UnderstandingAutonomy

Tools & Technologies

KubernetesAWSHelmCloud Infrastructure

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceAdvanced Degree in Computer Science

Industry Keywords

HealthcareHealth-TechStartupsCustomer-Facing EngineeringProduct-Oriented 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
Work with React/TypeScript 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
Collaborate 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, AI evaluation, distributed systems, backend infrastructure, Kubernetes, AWS, Helm, React, TypeScript, healthcare/health-tech, startups, customer-facing or product-oriented engineering, or building products with limited PM involvement is valuable but not required

Benefits

Comp & perks

Competitive compensation
Equity
Relocation support
Visa sponsorship for eligible candidates