CrawlJobs Logo

Software Engineer, AI Safety

United States, San Francisco 185000.00 - 325000.00 USD / Year · Job Posted February 21, 2026
Apply Position
Job Link Share

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

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Software Engineer, AI Safety

8 matching positions

Senior Software Engineer - AI Safety and Security

Security represents the most critical priorities for our customers in a world aw...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Demonstrated technical depth with LLM-based systems—prompts, system instructions, agents/tools, RAG, embeddings—and experience building or securing AI copilots or agent-based products
  • Demonstrated record of successfully operating in highly ambiguous environments and integrating solutions into varied environments
  • Experience with cybersecurity workflows (alerting, triage, investigation, threat hunting, incident response) and familiarity with frameworks like MITRE ATT&CK, NIST, or OWASP for LLM applications
  • Exceptional written and verbal skills
  • adept at articulating business needs and driving alignment across engineering, research, and security teams
  • Designing, building, and operating scalable, highly available cloud services or distributed systems on platforms such as Azure, AWS, GCP, or comparable cloud environments, with production ownership and CI/CD pipeline integration
  • Applying distributed systems concepts such as concurrency, conflict resolution, and consensus algorithms to build resilient and maintainable back-end architectures
  • Building systems with emphasis on reliability, durability, and operational efficiency, including experience with live site operations, incident response, and performance optimization
Job Responsibility
Job Responsibility
  • AI Logging and Observability: Develop company-wide logging strategies and implementations, enabling reliable attack mapping and automated detections
  • understand the architecture and pipelines for existing logging, data storage, and observability systems
  • and determine what additional infrastructure should be built
  • Detection Engineering: Partner with AI Incident Response and Threat Hunting teams to create novel detection capabilities
  • build infrastructure that enables meta-cognition, mechanistic interpretability, and anomaly detection, to identify patterns of attack signatures at scale
  • Threat Intelligence: Deliver data integrations across multiple data sources and platforms
  • serve diverse stakeholder needs for threat intelligence
  • partner with data science to operationalize pipelines that aggregate and correlate multi-source signals
  • deliver actionable insights, trend analyses, and automated reporting integrated with detection and response workflows
  • Mitigations: Partner with AI Red Team, applied science, and security research to implement mitigation strategies against emerging attack techniques
  • Fulltime
Read More
Arrow Right

Software Engineer – Embedded & Functional Safety Software

We are looking for a Software Engineer with a strong background in embedded and ...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
teradyne.com Logo
Teradyne
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of professional experience in software development with strong C++ / C focus
  • Solid experience debugging embedded systems, preferably in robotics or safety-relevant contexts
  • Hands-on experience with robot firmware or embedded robotics software
  • Ability to reason about system behavior across software, electronics, mechanics, and physical effects
  • Strong focus on robustness, determinism, and predictable system behavior
  • Experience working with field-reported issues and ambiguous failure modes
  • Experience with test-driven development and agile methodologies
  • Fluent in spoken and written English
  • M.Sc. in Robotics Engineering, Electrical Engineering, Computer Science, or a closely related field
  • Functional safety concepts such as hazard mitigation, fault detection, monitoring, and safe state handling
Job Responsibility
Job Responsibility
  • Take end-to-end ownership of embedded and safety-related software issues observed in customer deployments
  • Investigate safety-relevant incidents, unexpected stops, degraded behavior, or fault scenarios
  • Analyze logs, traces, watchdog events, fault reports, and system resets from deployed robots
  • Reproduce safety-critical failures in lab and controlled environments
  • Design and implement fixes and improvements in embedded C/C++ software
  • Work with microcontrollers, real-time constraints, and low-level drivers, with safety as a primary concern
  • Implement, validate, and improve safety mechanisms such as monitoring, fault detection, redundancy, and safe states
  • Work with SICK safety logic, including configuration, debugging, and validation
  • Use and contribute to Safety Designer configurations and safety logic design
  • Assess whether issues can be resolved within the front-office scope or require structured escalation to core R&D
  • Fulltime
Read More
Arrow Right

Software Engineer II/Sr. Software Engineer

Join Microsoft’s Core AI team and help shape the future of intelligent software ...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements is required for this role
  • This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Design and ship AI-assisted features in Visual Studio that help developers generate, explain, and refactor code—measured by adoption, reliability, and user satisfaction
  • Bring intelligence into IDE by integrating GitHub Copilot/MCP tools into core IDE workflows with strong attention to performance, privacy, and safety-by-default
  • Collaborate with partner teams across Microsoft and GitHub to deliver secure, performant solutions and iterate quickly based on real developer feedback
  • Contribute to designs (APIs, data flows, extensibility points) and participate in code/design reviews to maintain quality and scalability for a large codebase
  • Instrument and learn using telemetry, experimentation, and diagnostics to improve latency, reliability, and relevance over time
  • Fulltime
Read More
Arrow Right

Software Engineer, AI

Meta is seeking a Software Engineer with deep AI specialization to help build an...
Location
Location
Singapore
Salary
Salary:
Not provided
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of software engineering experience, with a focus on building and deploying machine learning or AI systems in production environments
  • Experience designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, evaluation, and serving at scale
  • Experience with deep learning frameworks such as PyTorch or TensorFlow, and proficiency in Python for AI and data engineering workflows
  • Experience applying experimentation methodologies — including A/B testing and metric design — to evaluate AI model performance and drive product decisions
  • Experience building maintainable, well-tested codebases for AI systems, including unit testing, integration testing, and monitoring for model quality and reliability
Job Responsibility
Job Responsibility
  • Design and implement scalable AI and machine learning systems, including model training pipelines, inference infrastructure, and feature engineering frameworks, to power Meta's core products
  • Develop and optimize large-scale AI models — including large language models, generative AI systems, and ranking and recommendation models — from prototype through production deployment
  • Leverage AI tools and workflows as a force multiplier to expand technical scope across modeling, data analysis, and operational readiness within a single project lifecycle
  • Establish and maintain robust evaluation frameworks, automated testing, and monitoring pipelines to ensure reliability and quality of AI systems in production
  • Own the technical design of AI components and systems, evaluating architectural trade-offs to meet well-defined product and business requirements
  • Instrument AI systems with telemetry, design experiments to validate model hypotheses, and make data-informed decisions that balance short-term goals with long-term model quality
  • Proactively identify performance bottlenecks in model serving and training infrastructure, using profiling and benchmarking to drive latency and throughput improvements
  • Collaborate with product managers, data scientists, and research scientists to translate AI research advances into production-ready features with measurable user impact
  • Contribute to AI safety, privacy, and integrity practices by incorporating responsible AI principles into system design and partnering with cross-functional teams on safeguards
  • Mentor other engineers on AI engineering best practices, advocate for coding and testing standards, and help drive adoption of AI-augmented development workflows across the team
Read More
Arrow Right

Senior Software Engineer- AI

Are you looking for an opportunity to work with the latest Azure offerings and p...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in Software Development
  • Strong programming expertise in one or more languages such as Python, Go, Java, or C#, with experience designing production-grade services and APIs
  • Experience building AI-powered applications, including integrating LLMs, implementing agent or Copilot workflows, and orchestrating multi-step AI interactions
  • Hands-on experience with LLM application frameworks and orchestration tools such as Semantic Kernel, LangChain, or similar agent frameworks
  • Familiarity with retrieval-augmented generation (RAG) architectures, vector databases, embeddings, and semantic search systems
  • Experience evaluating and improving model performance through prompt design, evaluation frameworks, fine-tuning, or feedback loops
  • Solid understanding of distributed systems concepts including scalability, reliability, observability, caching, and asynchronous processing
  • Experience deploying and operating AI workloads in cloud environments (preferably Azure), including containerized services and GPU-enabled infrastructure
  • Understanding of Responsible AI practices, including model governance, safety, privacy, and evaluation of AI behaviour in production systems
  • Ability to work across product, research, and engineering teams to translate product scenarios into scalable AI system architectures
Job Responsibility
Job Responsibility
  • Design, build, and operate scalable AI systems that power intelligent product experiences, including Copilot and agent-driven workflows
  • Architect and implement backend services that support multi-step AI interactions, including orchestration pipelines, context management, memory/state persistence, and tool execution
  • Integrate large language models (LLMs), APIs, and internal services to enable context-aware, human-in-the-loop experiences across customer scenarios
  • Build and maintain data and inference pipelines that support model training, fine-tuning, evaluation, and real-time inference across diverse data sources
  • Evaluate, benchmark, and tune AI/ML models (LLMs and traditional models) to meet product requirements for accuracy, latency, reliability, and safety
  • Implement robust retrieval, grounding, and knowledge integration mechanisms (e.g., RAG systems, semantic indexing, vector search) to power intelligent applications
  • Collaborate with product managers, software engineers, and researchers to translate product vision into production-ready AI capabilities and measurable outcomes
  • Ensure reliability, observability, and governance of AI systems, including monitoring model performance, data quality, and responsible AI practices
  • Build reusable platforms, APIs, and tools that enable teams to rapidly develop AI-powered features and self-service intelligent applications
  • Fulltime
Read More
Arrow Right

AI Software Engineer

AI Software Engineer – Healthtech Startup. NYC-based healthtech startup building...
Location
Location
United States , New York
Salary
Salary:
220000.00 USD / Year
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong background in AI/ML engineering with production experience
  • Hands-on expertise with Transformers, Python/ML frameworks, and cloud infra
  • Have shipped production AI systems and made architecture decisions
  • Thrive in fast-moving, early-stage environments where ownership matters
Job Responsibility
Job Responsibility
  • Architect and scale AI/ML systems for documentation automation and workflow optimization
  • Build LLM-powered features (RAG, fine-tuning, prompt engineering)
  • Develop evaluation frameworks to ensure safety, accuracy, and performance
  • Translate clinical requirements into scalable technical solutions
  • Design and maintain data pipelines and monitoring for production ML
What we offer
What we offer
  • Significant stake in the company
  • Health/dental/vision
  • 401k
  • Fulltime
Read More
Arrow Right

Senior Staff Software Engineer - AI

GEICO is seeking an experienced Engineer with a passion for building high-perfor...
Location
Location
United States , Seattle, WA; Austin, TX; Palo Alto, CA; Chicago, IL; Dallas, TX
Salary
Salary:
110000.00 - 230000.00 USD / Year
geico.com Logo
Geico
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience building and deploying ML systems in production with cross-functional engineering teams
  • Fluency in at least two modern languages such as Python, Go, Java, C++, or C# including object-oriented design
  • Experience architecting multi-component ML platforms using open-source/cloud-agnostic components: Datastores: PostgreSQL, NoSQL (MongoDB, Cassandra, CosmosDB) Streaming: Kafka, Flink, or Spark Streaming
  • Experience with end-to-end ML lifecycle: version control, CI/CD, Kubernetes, testing, monitoring, and production support
  • Experience with cloud providers (Azure, AWS or GCP) in production ML environments
  • Experience with observability tools and distributed systems monitoring, logging, tracing, and root cause analysis
  • Experience building multi-agent systems using LLMs and agentic frameworks (e.g., LangChain, LangGraph, AutoGen, Semantic Kernel, CrewAI)
  • Hands-on experience with RAG, semantic search, and vector databases (e.g., Milvus, pgvector, Qdrant, ElasticSearch)
  • Experience designing human-in-the-loop workflows and safety controls for autonomous systems
  • Strong architecture and design skills with ability to influence technical direction and roadmap
Job Responsibility
Job Responsibility
  • Design and build a multi-agent AI platform where specialized agents autonomously detect, diagnose, and resolve issues through agent-to-agent (A2A) collaboration
  • Develop intelligent agents using LLMs and agentic frameworks that coordinate detection, diagnostic, remediation, and knowledge tasks with minimal human intervention
  • Define agent interaction protocols, A2A communication standards, and evaluation frameworks for agent decision quality and autonomous action safety
  • Architect vector database solutions (Milvus, pgvector, Qdrant) for semantic search and RAG to enable context-aware agent decision-making
  • Build end-to-end ML pipelines for severity classification, anomaly detection, failure pattern recognition, and impact forecasting using observability data
  • Establish scalable orchestration infrastructure for multi-agent workflows with CI/CD, automated evaluation, canary releases, and rollback strategies
  • Implement monitoring for agent interactions, A2A communication patterns, decision quality, data drift, and system reliability
  • Lead technical architecture ensuring scalability, observability, and integration with existing alerting, logging, and monitoring systems
  • Define standards for agent safety, explainability, governance, and human-in-the-loop controls for high-impact automated actions
  • Partner with SRE, Product, and Engineering teams to translate reliability goals into measurable ML objectives and maintain pragmatic technical roadmaps
What we offer
What we offer
  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
  • Financial benefits including market-competitive compensation
  • a 401K savings plan vested from day one that offers a 6% match
  • performance and recognition-based incentives
  • and tuition assistance
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, AI Experiences

You'll lead the strategy, planning, and execution of Gamma's AI Product Experien...
Location
Location
United States , San Francisco
Salary
Salary:
230000.00 - 340000.00 USD / Year
gamma.app Logo
Gamma
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of software engineering experience
  • At least 1 year building with AI generative technologies (LLMs)
  • Prior experience working with CRDTs/YJS, LLMs and image models, WebSockets, and streaming
  • Familiarity with context engineering, agent development, and AI patterns (RAG, embeddings, subagents, tool calling)
  • Deep expertise building complex, collaborative, real-time web apps with TypeScript and React
  • Strong sense of craft with drive to build delightful experiences
  • Strong communication skills and experience influencing technical strategy across teams
  • High EQ with empathetic, reflective, self-aware, growth mindset that actively promotes psychological safety for the team
Job Responsibility
Job Responsibility
  • Lead the strategy, planning, and execution of Gamma's AI Product Experiences
  • Shape the future of how millions of users interact with AI to bring their ideas to life
  • Establish technical direction for our most ambitious AI initiatives
  • Balance hands-on engineering with strategic leadership
  • Elevate engineering quality across the team through code review, design feedback, and mentorship
  • Proactively identify opportunities and misalignment within EPD
  • Bring both data-driven rigor and strong intuition to decision-making
  • Design systems that balance security, usability, and performance
  • Ship production code while maintaining strategic perspective
  • Partner with EM, PM, and cross-functional leads to set the roadmap and drive technical decision-making
What we offer
What we offer
  • competitive equity
  • Fulltime
Read More
Arrow Right