Jobs in the United States

25+ jobs

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Added 2 mins ago
RGM Product Manager
The Coca-Cola Company
Atlanta, GA
Added 11 mins ago
Artificial Intelligence Software Engineer
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
Experience building or integrating AI, machine learning, Generative AI, or LLM-based solutions.
Added 11 mins ago
Software Engineer - AI
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
Experience building or integrating AI, machine learning, Generative AI, or LLM-based solutions.
Added 11 mins ago
Software Engineer - AI Agents / Generative AI
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
Experience building or integrating AI, machine learning, Generative AI, or LLM-based solutions.
Added 11 mins ago
Quantitative Analytics & Model Analyst Senior - Credit Loss Forecasting (CLF)
PNC Bank NA
PA · Tysons Corner, VA · East Brunswick, NJ · WA
Evaluate and apply generative AI, and LLM-based capabilities where appropriate to improve analytics, model operations, monitoring, and documentation, with appropriate testing, security,…
Added 14 mins ago
Director, Organic Acquisition
Cars.com LLC
Remote, United States
Own and lead organic acquisition strategy for Cars.com including all aspects of SEO from technical, to content to LLM optimization and innovation to drive transformative growth in website…
Added 21 mins ago
Staff Software Engineer, Google Ads, Full Stack
Google
New York, NY
…pipelines) used daily by publishers. We are actively integrating LLM and generative AI capabilities directly into these workflows, making this an ideal role to drive massive, real-world AI…
Added 27 mins ago
Lead Software Engineer - AI
Humana Inc.
Charlotte, NC · Louisville, KY · Work at Home, TX · Tampa, FL · Dallas, TX · Fort Lauderdale, FL · Washington, DC · Chicago, IL · Atlanta, GA · Nashville, TN · Boston, MA
…end-to-end architecture of Centerwell's AI systems, including LLM-powered clinical tools, RAG pipelines, harnesses, agent-based workflows, and intelligent automation. Make and communicate…
Added 30 mins ago
PI
Sr Software Engineer
PayPal, Inc.
San Jose, CA
- $143,500 to $212,850 USD / year
Hands-on experience integrating AI/ML into backend systems: serving and calling ML models and LLM APIs, building feature pipelines, and supporting real-time inference for risk decisioning.
Added 33 mins ago
S
GPU Kernel Engineer
Sciforium
San Francisco, CA
- $190,000 to $250,000 USD / year
- Profile and optimize end-to-end performance of ML operations, with a focus on large-scale LLM training and inference.
Added 33 mins ago
UG
Associate Software Engineer
UnitedHealth Group
Minneapolis, MN
- $60,200 to $107,400 USD / year
Build and maintain agentic workflows using LangGraph (and related libraries) to orchestrate multi-step LLM interactions, tool use, state management, and human-in-the-loop review patterns
Added 36 mins ago
Principal Platform Engineer - People Systems
Apple
Sunnyvale, CA
…configuration recommendations, workload-aware scheduling, and LLM-powered interfaces that simplify complex operator…
Added 38 mins ago
Agentic AI Director of Software Engineering
JPMC page
Columbus, OH · OH
Strong LLM application architecture skills (RAG, tools, agents, orchestration) with a focus on safety and reliability.
Added 41 mins ago
Lead Software Engineer
ZBETA Consulting
Remote, United States
Added 43 mins ago
Deployment Strategist, Public Sector (Federal & SLED) - North America
ElevenLabs
Remote, United States
- Basic Python and API integration skills, enough to prototype, demo and talk credibly with engineering teams, plus familiarity with LLM and AI agent frameworks.
Added 46 mins ago
Staff Software Architect
CVS Shared Services Resources LLC
Remote, United States
…cost-optimized platforms supporting clinical AI/ML workloads - including LLM inference pipelines, document processing at scale, and real-time clinical data…
Added 47 mins ago
A
Sr DevOps Engineer
ArtosAI
San Francisco, CA
- $166,500 to $231,000 USD / year
…You'll help establish scalable infrastructure patterns and developer-friendly workflows that allow engineers to ship software quickly, reliably, and…
Added 48 mins ago
Staff Forward Deployed Engineer
Suki
Redwood City, CA
Experience shipping LLM features to production, including prompt design, evaluation, and trade-offs between latency, cost, and quality.
Added 51 mins ago
C
Senior AI Developer
ClickUp
Remote, United States
- $200,000 to $250,000 USD / year
- Design, build, and own ClickUp's AI evaluation system, including golden datasets, LLM-as-judge and automated scorers, regression detection, and quality tracking across AI features.
Added 58 mins ago
Director of Artificial Intelligence
Compass Group
CHICAGO, IL
Experience with LLM applications, agentic systems, or AI product development beyond traditional ML
Added 58 mins ago
Principal AI Engineer
Scotiabank
Dallas, TX
Develop and integrate machine learning models, LLM-powered applications, retrieval services, and agentic workflows into enterprise systems.
Added 1 hour ago
CSP Account Executive (West Coast)
Mirantis
Remote, United States
Deep understanding of AI infrastructure and applications, including GPU clusters, model training versus inference workloads, LLM serving, and how providers price and package GPU capacity.
Added 1 hour ago
Consultant - R01573317
Brillio
Remote, United States
Added 1 hour ago
UG
Director, Software Engineering
UnitedHealth Group
Eden Prairie, MN
- $134,600 to $230,800 USD / year
1+ years of experience designing, building, or deploying artificial intelligence solutions, including agentic AI systems, autonomous workflows, or LLM-enabled platforms
Added 1 hour ago
Research Engineer, Agentic Infrastructure, liftlab - Stanford Law School
Stanford
Stanford, CA
Experience designing, implementing, or evaluating LLM-based or agentic AI systems, including tool integrations, workflow orchestration, and ev

JumpStars Rocket Roles

Founding Engineer

San Francisco, CA, United States

$130,000 to $200,000 USD / year

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Job details

Pay: $130,000 to $200,000 USD / year
Posting language: English

Original job description

About the company We're an early-stage startup working on tools that help developers build better applications with large language models. Our focus is on creating the infrastructure that makes AI development easier and more reliable. We're venture-backed and based in San Francisco, where our small team of engineers is tackling some of the toughest technical challenges in AI tooling. The goal is simple: give developers what they need to build, deploy, and manage AI-powered applications without the usual headaches. About the role Join us as a Founding Engineer and help build something meaningful from the ground up. You'll work closely with our founders to develop the core product, shape our team culture, and guide our technical decisions. This role comes with significant ownership and responsibility as you create scalable systems that thousands of developers will rely on. Your contributions will be essential as we create the leading platform for LLM observability and improve how developers work with AI. What you'll do

Architect and Build: Design, develop, and deploy new features and core components across our entire platform, directly enhancing the developer experience.
Full-Stack Development: Take ownership of both frontend and backend services, including our Next.js/Tailwind frontend, high-throughput proxy worker, application and analytics databases (Postgres/ClickHouse), and backend API services.
End-to-End Ownership: Lead engineering projects from initial concept and design through to deployment, monitoring, and iteration, ensuring robust and scalable solutions.
Infrastructure and Operations: Manage and optimize our deployment pipelines and cloud infrastructure to ensure reliability, performance, and smooth operations.
Community Engagement: Collaborate directly with our growing user community to gather feedback, guide feature development, and improve the platform's usability and documentation.

What we're seeking Must have

Deep expertise and professional experience with TypeScript, as it forms the core of our codebase.
Strong proficiency with SQL and experience working with relational databases.
A proven ability to break down complex technical problems and communicate solutions clearly and effectively.
A quick learner who is highly adaptable and thrives in a fast-paced, evolving startup environment.
A strong foundational understanding of the large language model (LLM) ecosystem and the current AI landscape.
Hands-on experience with our platform is required to ensure you have a baseline understanding of what we are building.

Nice to have

Experience with our specific tech stack, including Next.js, Tailwind, Express, Cloudflare Workers, Supabase, and ClickHouse.
Familiarity with cloud deployment workflows and services (AWS, GCP).
Experience working in an early-stage startup environment.

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