AI Engineer jobs in United States

Explore 895 matching jobs.

Suno

Senior/Staff Full-Stack AI Engineer

Suno

Posted: 10/20/2026
PythonReactTypeScript
Netflix

Software Engineer 5 – Model Development and Management, AI Platform

Netflix

Posted: 10/20/2026
AirflowAWSJavaPythonScalaC++
Collectors

Staff Applied AI Engineer

Collectors

Posted: 10/20/2026
Drata

Senior Applied AI Engineer

Drata

Posted: 10/20/2026
Python
HP France

Transformation Lead, AI & Automation

HP France

Posted: 10/20/2026
ETLPythonSQLTableau
Unify

Applied AI Engineer

Unify

Posted: 10/20/2026
PythonTypeScript
Monad Foundation

Business Development Lead, AI

Monad Foundation

Posted: 10/20/2026
Booz Allen Hamilton

Agentic AI Engineer

Booz Allen Hamilton

Posted: 10/20/2026
AWSAzureCloudDockerGrafanaKubernetesNeo4jReact
Hewlett Packard Enterprise

Principal AI Engineer

Hewlett Packard Enterprise

Posted: 10/20/2026
CloudJavaPythonPyTorchTensorflowC++
HP

Transformation Lead, AI & Automation

HP

Posted: 10/20/2026
ETLPythonSQLTableau
G2i Inc.

Staff Software Engineer, AI Evals

G2i Inc.

Posted: 10/20/2026
JavaScriptPythonRustTypeScriptGo
Mysten Labs

Product Lead, AI

Mysten Labs

Posted: 10/20/2026
Simple Software Solutions Group, Inc

Senior AI Developer – Agent Builder, AI Focus

Simple Software Solutions Group, Inc

Posted: 10/20/2026
Cornelis Networks

Principal Embedded Firmware Engineer – AI/HPC Networking Silicon

Cornelis Networks

Posted: 10/20/2026
FlashPythonC++
Johnson Controls

Senior AI Engineer

Johnson Controls

Posted: 10/20/2026
AssemblyCloudCyber SecurityERPPythonScikit-LearnSQL
Hewlett Packard Enterprise

Principal AI Engineer

Hewlett Packard Enterprise

Posted: 10/20/2026
CloudJavaPythonPyTorchScikit-LearnTensorflowC++
Hewlett Packard Enterprise

Principal AI Engineer

Hewlett Packard Enterprise

Posted: 10/20/2026
CloudJavaPythonPyTorchScikit-LearnTensorflowC++
Capital One

AI Engineer 5, MLX, Agentic AI, Gen AI platform Services

Capital One

Posted: 10/20/2026
AWSCloudJavaOpen SourcePythonPyTorchScalaC++Go
Capital One

AI Engineer 4 – MLX, Agentic AI, Gen AI platform Services

Capital One

Posted: 10/20/2026
AWSCloudDistributed SystemsJavaOpen SourcePythonPyTorchScalaC+++1 more
DirectSupply

AI Engineer

DirectSupply

Posted: 10/20/2026
AWSCloudDockerPostgresPythonTerraformTypeScript
Suno

Senior/Staff Full-Stack AI Engineer

Suno
Posted 10/20/2026full-timeSan Francisco • California • United StatesSenior💰 $228,000 - $363,000 per yearWebsite
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Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in building and scaling backend systems for AI agents, with a focus on multi-step tool calling and evaluation processes. Proficient in collaborating with cross-functional teams, including ML engineers and product managers, to deliver high-quality features in a production environment.

Highest-signal resume keywords
Backend System DevelopmentLLM-Powered Feature ShippingEvaluation Design for Nondeterministic SystemsOn-Call OwnershipPython Backend Experience

Tech Stack

Tools & technologies
PythonReactTypeScript

About the role

Key responsibilities & impact
  • Build and run the backend for an AI agent that plans multi-step requests and calls music models and audio tools
  • Design evals, datasets and release gates that determine whether agent changes ship
  • Make release decisions when evaluation results are noisy
  • Develop data pipelines that feed the agent and its evals alongside ML engineers
  • Create internal tools for running and reviewing evals
  • Share on-call and launch support for a high-traffic production system
  • Help new engineers ramp as the team grows
  • Ship features that help users turn ideas into music
  • Work alongside ML engineers, PMs and product teams

Requirements

What you’ll need
  • 4–6 years building and scaling general backend systems in production
  • Experience with services at scale, observability and on-call ownership
  • Experience shipping and operating an LLM-powered agent or feature in production with multi-step tool calling
  • Experience building evals for nondeterministic systems, such as regression sets, graders or LLM judges
  • Experience using evaluation results to decide what ships
  • Comfort handling ambiguity, unblocking yourself, and working with ML engineers, PMs and partner teams
  • Experience with Python backends (nice-to-have)
  • Experience building internal tools or dashboards in TypeScript and React (nice-to-have)
  • Experience with audio, music or other media generation systems (nice-to-have)
  • Experience with LLM tracing and observability tools (nice-to-have)
  • Applicants must be eligible to work in the US

Benefits

Comp & perks
  • Company Equity Package
  • 401(k) with 3% Employer Match & Roth 401(k)
  • Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
  • 11 Paid Holidays + Unlimited PTO & Sick Time
  • 16 Weeks of Paid Parental Leave
  • Creative Education Stipend
  • Generous Commuter Allowance
  • In-Office Lunch (5 days per week)

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Backend System DevelopmentMulti-Step Tool CallingEvaluation DesignData Pipeline DevelopmentPythonTypeScriptReactLLM TracingObservability ToolsInternal Tool Development
Soft Skills
Comfort Handling AmbiguityUnblocking YourselfCollaboration
Tools & Technologies
Audio ToolsMusic ModelsProduction SystemsDashboards
Industry Keywords
AI AgentMedia Generation SystemsHigh-Traffic Production SystemEvaluation Results