CrawlJobs Logo

Software Engineer, AI Safety

openai.com Logo

OpenAI

Location Icon

Location:
United States , San Francisco

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

185000.00 - 325000.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

At OpenAI, we're dedicated to advancing artificial intelligence, and we know that creating a secure and reliable platform is vital to our mission. That's why we're seeking a software engineer to help us build out our trust and safety capabilities. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner.

Job Responsibility:

  • Architect, build, and maintain anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior
  • Work closely with our other engineers and researchers to utilize both industry standard and novel AI techniques to measure, monitor and improve AI models’ alignment to human values
  • Diagnose and remediate active incidents on the platform and build new tooling and infrastructure that address the root causes of system failure

Requirements:

  • Built and run production services in a high growth, rapidly scaling environment
  • Can debug live issues and restore systems quickly
  • Experience with content safety, fraud, or abuse, or are motivated and excited to work on present-day (“now-term”) AI safety
  • Experience with Python or with modern languages such as C++, Rust, or Go, and are able to quickly ramp up on Python
  • Understand the trade-offs of capabilities and risks and navigate them to deploy novel products and features safely
  • Can critically assess risks of a new product or feature and devise innovative solutions to mitigate these risks without harming the product experience
  • Pragmatic, knowing when to build a quick, good-enough fix, and when to invest in a robust, lasting solution
  • Possess strong project management skills, self-directed and can remove roadblocks to drive projects to completion with minimal guidance
  • Deployed classifiers or machine learning models, or are excited to learn about modern ML infra
  • Experience with technologies like Terraform, Kubernetes, Azure, Python, Postgres, and Kafka is valued
What we offer:
  • 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
  • Offers Equity
  • Performance-related bonus(es) for eligible employees

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Icon
OpenAI - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Software Engineer, AI Safety

Director of AI Engineering

We are entering a hyper-growth phase of AI innovation and are hiring a Director ...
Location
Location
Canada; United States
Salary
Salary:
300000.00 - 450000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
  • Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
  • Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
  • Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
  • Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
  • Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
  • Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
  • Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
  • Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
  • Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency
Job Responsibility
Job Responsibility
  • Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
  • Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
  • Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
  • Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
  • Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
  • Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
  • Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
  • Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
  • Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
  • Ensure robust observability, monitoring, and safety guardrails for all AI systems in production
What we offer
What we offer
  • Equity
  • Company bonus or sales commissions/bonuses
  • 401(k) plan
  • At least 10 paid holidays per year
  • Flex PTO
  • Parental leave
  • Employee assistance program and wellbeing benefits
  • Global travel coverage
  • Life/AD&D/STD/LTD insurance
  • FSA/HSA
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...
Location
Location
Canada; United States
Salary
Salary:
160000.00 - 260000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
  • Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Python Proficiency: Expert-level Python skills for production AI systems
  • Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures
  • LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
  • Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
  • Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
  • System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
  • Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
  • Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
  • Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions
What we offer
What we offer
  • equity
  • company bonus or sales commissions/bonuses
  • 401(k) plan
  • at least 10 paid holidays per year, flex PTO, and parental leave
  • employee assistance program and wellbeing benefits
  • global travel coverage
  • life/AD&D/STD/LTD insurance
  • FSA/HSA and medical, dental, and vision benefits
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...
Location
Location
India
Salary
Salary:
Not provided
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
  • Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Expert-level Python skills for production AI systems
  • Strong experience building scalable backend systems, APIs, and distributed architectures
  • Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
  • Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
  • Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
  • System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
  • Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
  • Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
  • Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions
What we offer
What we offer
  • Invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact
  • Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed
  • We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins
Read More
Arrow Right

Staff AI Engineer

As a Staff AI Engineer on our AI Engineering team, you will be responsible for b...
Location
Location
United States
Salary
Salary:
200000.00 - 280000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage
  • Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Expert-level Python skills for production AI systems
  • Strong experience building scalable backend systems, APIs, and distributed architectures
  • Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Design and Deploy Production LLM Systems
  • Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
  • Develop and optimize prompting strategies
  • Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
  • Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems
  • Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
  • Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions
  • Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows
  • Develop systems that maintain conversational context across complex multi-turn interactions
  • Build scalable large language model and agentic platforms
What we offer
What we offer
  • equity
  • company bonus or sales commissions/bonuses
  • 401(k) plan
  • at least 10 paid holidays per year, flex PTO, and parental leave
  • employee assistance program and wellbeing benefits
  • global travel coverage
  • life/AD&D/STD/LTD insurance
  • FSA/HSA and medical, dental, and vision benefits
  • Fulltime
Read More
Arrow Right

Staff AI Engineer

As a Staff AI Engineer on our AI Engineering team, you will be responsible for b...
Location
Location
India
Salary
Salary:
Not provided
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage
  • Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Expert-level Python skills for production AI systems
  • Strong experience building scalable backend systems, APIs, and distributed architectures
  • Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Design and Deploy Production LLM Systems
  • Agent Development
  • Prompt Engineering Excellence
  • System Integration
  • Evaluation & Quality Assurance
  • Performance Optimization
  • Cross-functional Collaboration
Read More
Arrow Right

Research Engineer AI

The role involves conducting high-quality research in AI and HPC, shaping future...
Location
Location
United Kingdom , Bristol
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A good working knowledge of AI/ML frameworks, at least TensorFlow and PyTorch, as well as the data preparation, handling, and lineage control, as well as model deployment, in particular in a distributed environment
  • At least a B.Sc. equivalent in a Science, Technology, Engineering or Mathematical discipline
  • Development experience in compiled languages such as C, C++ or Fortran and experience with interpreted environments such as Python
  • Parallel programming experience, with relevant programming models such as OpenMP, MPI, CUDA, OpenACC, HIP, PGAS languages is highly desirable
Job Responsibility
Job Responsibility
  • Perform world-class research while also shaping products of the future
  • Enable high performance AI software stacks on supercomputers
  • Provide new environments/abstractions to support application developers to build, deploy, and run AI applications taking advantage of leading-edge hardware at scale
  • Manage modern data-intensive AI training and inference workloads
  • Port and optimize workloads of key research centers like the AI safety institute
  • Support onboarding and scaling of domain-specific applications
  • Foster collaboration with the UK and European research community
What we offer
What we offer
  • Health & Wellbeing benefits that support physical, financial and emotional wellbeing
  • Career development programs catered to achieving career goals
  • Unconditional inclusion in the workplace
  • Flexibility to manage work and personal needs
  • Fulltime
Read More
Arrow Right

Principal AI Engineer

We are looking for a Principal AI Engineer to lead the design and deployment of ...
Location
Location
United States
Salary
Salary:
200000.00 - 300000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of software engineering experience
  • at least 3 years in applied LLM or agentic AI systems (2023–present)
  • proven success in deploying LLM-powered products used by real users at scale
  • deep backend & systems engineering expertise with Python, distributed systems, and scalable APIs
  • familiarity with LangChain, LlamaIndex, or similar orchestration frameworks
  • experience with RAG pipelines, vector DBs, embedding models, and semantic search tuning
  • experience managing performance across cloud providers (e.g., AWS Bedrock, OpenAI, Anthropic, etc.)
  • demonstrated experience building multi-step agents, planning workflows, chaining reasoning steps, and integrating APIs with agent memory/state
  • comfort with advanced prompting strategies, few-shot and chain-of-thought reasoning, and embedding retrieval setups
  • strong understanding of AI system evaluation, human ratings, A/B experimentation, and feedback loop pipelines
Job Responsibility
Job Responsibility
  • Architect and lead the development of multi-agent systems capable of long-horizon planning, reasoning, and API orchestration
  • build reusable agentic components that integrate deeply into sales and marketing processes
  • own and evolve our in-house platform for scalable, low-latency, and cost-efficient LLM and agent deployments
  • lead design of interfaces powered by natural language understanding and retrieval-augmented generation (RAG)
  • build embedding-based, intent-aware search and personalization systems tuned to business user needs
  • drive innovation in personalized outreach generation using context-aware generation pipelines
  • tune inference pipelines, caching layers, and model selection logic for high-scale, cost-aware performance
  • define and drive robust offline and online testing methodologies (A/B, sandboxing, human evals) across agents and LLM flows
  • architect human-in-the-loop systems and telemetry to improve accuracy, UX, and explainability over time
What we offer
What we offer
  • equity
  • company bonus or sales commissions/bonuses
  • 401(k) plan
  • at least 10 paid holidays per year
  • flex PTO
  • parental leave
  • employee assistance program
  • wellbeing benefits
  • global travel coverage
  • life/AD&D/STD/LTD insurance
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, Generalist

As a Senior Software Engineer, Generalist at Chef Robotics, you'll play a pivota...
Location
Location
United States , San Francisco
Salary
Salary:
150000.00 - 240000.00 USD / Year
chefrobotics.ai Logo
Chef Robotics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • 7+ years of professional experience in software development with demonstrated full-stack capabilities
  • Proven experience in software development, with a focus on autonomous systems, robotics, or related fields
  • Strong proficiency in programming languages such as Python and JavaScript/TypeScript, with emphasis on object-oriented design and development
  • Experience with software development tools and frameworks commonly used in robotics and autonomous systems (e.g., ROS, OpenCV, TensorFlow, etc.)
  • Familiarity with sensor fusion techniques, perception algorithms, and other technologies relevant to autonomous robotics operations
  • Advanced understanding of cloud infrastructure and deployment (AWS, GCP, or Azure)
  • Experience with containerization (Docker) and orchestration (Kubernetes) technologies
  • Proven experience leading complex, multi-disciplinary software projects from conception to deployment
  • Strong background in system architecture design and cross-functional technical decision-making
Job Responsibility
Job Responsibility
  • Collaborate with robotics engineers, hardware engineers, and other software engineers across the tech stack to design, develop, and deploy software solutions for food automation robots
  • Participate in all phases of the software development lifecycle, including requirements gathering, design, implementation, testing, deployment, and maintenance
  • Develop robust, scalable, and maintainable software systems that meet the unique challenges of commercial food production environments
  • Implement algorithms for perception, manipulation, motion planning, and control to enable autonomous food preparation behavior
  • Work across frontend dashboards, backend APIs, and cloud infrastructure to build comprehensive solutions that integrate with robotics hardware and AI systems
  • Design and optimize database schemas to support robot operations, telemetry, recipe management, and system analytics
  • Implement efficient data pipelines between on-device robotics systems and cloud services
  • Create data access layers and APIs that enable seamless integration across multiple subsystems
  • Develop real-time data processing systems for robotics telemetry and performance monitoring
  • Establish data integrity protocols and backup systems across distributed robotics deployments
What we offer
What we offer
  • medical, dental, and vision insurance
  • commuter benefits
  • flexible paid time off (PTO)
  • catered lunch
  • 401(k) matching
  • early-stage equity
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy