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Full Stack Software Engineer, Agent Enablement

Label Your Data·$255,000 – $405,000

Primary stack

UX DesignAPI

Nice to have's

Compliance

Job description

About the Position

Full Stack Software Engineer, Agent Enablement

We are looking for experienced full-stack engineers to join our new Agent Enablement team. Our goal is to design and grow an open ecosystem of agent-enabled sites and services. This is a wide-ranging role: you’ll build new user and agent identity protocols, user experiences to control and observe agents across web, desktop, and mobile, and much more.

Responsibilities

  • Design the primitives and protocols for an open agent ecosystem, enabling our users’ agents to make the best use of sites and services across the internet.
  • Build a next-generation user experience to observe and control agents, across web, desktop, and mobile.
  • Evolve our approach to token consumption across subscriptions and API customers.
  • Execute on fast-paced projects in collaboration with research, design, data science, and other product engineering teams.
  • Work closely with our strategic customers and partners to grow the ecosystem.

Requirements

  • Strong full-stack engineering skills and experience shipping customer-facing products from concept to production. You’re comfortable working across frontend, backend, APIs, data models, and product design.
  • Comfortable with ambiguity and rapidly changing conditions. You view change as an opportunity to bring structure and clarity, and you have a track record of turning high-level ideas into successful outcomes.
  • Experience working closely with users and customers, and can translate feedback into product improvements.
  • Familiarity with enterprise software concepts such as identity, permissions, governance, compliance, and billing.
  • Enjoy fast-moving zero-to-one environments and are excited to pursue an internet-wide vision.

We Offer

  • Compensation: $255K – $405K • Offers Equity
  • Benefits:
    • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
    • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
    • 401(k) retirement plan with employer match
    • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
    • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
    • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
    • Mental health and wellness support
    • Employer-paid basic life and disability coverage
    • Annual learning and development stipend to fuel your professional growth
    • Daily meals in our offices, and meal delivery credits as eligible
    • Relocation support for eligible employees
    • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Company

OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Join us in shaping the future of technology.

© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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