About the Team OpenAI's Platform and Infrastructure Engineering organization advances the mission of deploying artificial general intelligence (AGI) for the benefit of all by delivering secure, scalable, and resilient technology solutions. Our team builds and maintains robust infrastructure that safeguards OpenAI's data and systems while ensuring employees are well-equipped and seamlessly connected. By prioritizing security, reliability, and … user-centric solutions, we empower OpenAI employees to drive impactful AI research, corporate operations, and product innovation. About the Role As a Network Security Engineer at OpenAI, you will play a critical role in architecting and maintaining both campus and cloud network infrastructure. You will design and implement secure, scalable, and high-performing network solutions that bridge on-premises environments … network infrastructure. If you excel in cross-functional settings and have a proven track record of delivering innovative, secure network solutions, this role offers a unique opportunity to shape OpenAI's security-first, automation-driven network ecosystem. You may be a fit for this role if you have: Strong experience with Cisco IOS, Cisco Meraki, Palo Alto or similar Enterprise More ❯
Engineering tools: Pyspark, Polars, DuckDB, Malloy, SQL Infrastructure-as-code: Terraform, Pulumi Data Management and Orchestration: Airflow, dbt Databases and Data Warehouses: SQL Server, PostgreSQL, MongoDB, Qdrant, Pinecone GenAI: OpenAI APIs, HuggingFace, LangChain, Talk-to-data Monitoring: Datadog About You We are looking for someone who can wear two hats - the data architect and the strategic business consultant - so you More ❯
South West London, London, United Kingdom Hybrid / WFH Options
Serve Legal
Skills Required Software Engineering: Strong in at least one modern language (JavaScript/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL More ❯
AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track record of delivering scalable AI solutions in enterprise settings, preferably in life sciences. Excellent communication and interpersonal skills, with the ability to lead projects and consult directly More ❯
AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track record of delivering scalable AI solutions in enterprise settings, preferably in life sciences. Excellent communication and interpersonal skills, with the ability to lead projects and consult directly More ❯
GenAI Platform Engineer with: Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms More ❯
microservices architecture, CI/CD (Github Actions) and data pipelines powering AI-driven applications Deep knowledge of LLMs, fine-tuning, prompting, RAG and Agentic frameworks. Especially integration with the OpenAI API GPT, Gemini, LLama, Claude etc. Experience designing and implementing robust quality assurance/testing frameworks for AI performance Ability to collaborate with AI specialists, other AI software engineers, and More ❯
Work With:Python primarily, with bits and pieces of typescript and scalaGCP, AWS, Azure - in this order of relevanceGitHub, Docker, GitHub Actions, Terraform, KubernetesPandas, PySpark and SparkVertex AI, Azure OpenAI for LLMs Job Responsibilities Lead the execution of projects in a high-performing data science team, fostering professional growth and creating an inclusive and collaborative environment Architect and design scalable More ❯
openness to learning through iteration and feedback Understanding of enterprise data governance, AI model integration, and scalable data architecture Familiarity with AI/ML technologies, including GenAI models (e.g., OpenAI GPT, RAG, fine-tuning models, or machine learning frameworks) Good communication skills, especially when collaborating across different functions or surfacing potential risks or questions Familiarity with tools like JIRA, Confluence More ❯
experience in GenAI or LLM-based solution design. Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs. Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, Google Gemini, Anthropic, Meta Llama, Hugging Face). Familiarity with financial data sources (e.g., market data, transactional data, credit reports) and core systems (e.g., core banking, CRMs, compliance systems). More ❯
experience in GenAI or LLM-based solution design. Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs. Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, Google Gemini, Anthropic, Meta Llama, Hugging Face). Familiarity with financial data sources (e.g., market data, transactional data, credit reports) and core systems (e.g., core banking, CRMs, compliance systems). More ❯
with serverless/event-driven architectures. Experience designing scalable, low-latency data services. Exposure to Datadog or CloudWatch monitoring tools. Nice to Have: Experience with LLM-powered applications or OpenAI APIs . Professional experience in a similar environment or high-scale system. Key Roles and Responsibilities: Own Data Solutions – Design, build, and operate cloud-native, high-throughput data pipelines and More ❯
ensure that agentic applications being developed are compliant, robust and well-engineered. The role includes: Developing, assessing and evaluating agentic systems built with a variety of LLM providers, including OpenAI, Anthropic & Google. Research and implementation of new GenAI evaluation techniques. Contributions to the development of software packages and evaluation harnesses to allow downstream teams to develop their own evaluation datasets More ❯
full-stack engineer in a fast-paced environment. Hands-on with Next.js, Typescript (React/Node), Tailwind, SQL (Prisma), and Azure . Bonus points for experience with: LLM APIs (OpenAI, Anthropic), Retrieval Augmented Generation pipelines, Python, serverless architecture, or Microsoft Office Add-ins. Strong product mindset and passion for building. You may have tried a startup yourself or hacked together More ❯
South West London, London, United Kingdom Hybrid / WFH Options
Robert Half
LEAD Developer - Laravel | High-Growth SaaS | Hybrid (London) THIS IS A LEAD Developer Role Essential: Proven experience working with LLMs (e.g., OpenAI, Anthropic, Hugging Face) or applied AI projects. Nice to have: Broader AI/ML exposure, such as model fine-tuning, prompt engineering, or integration into production systems. Join a profitable, fast-growing SaaS company going through a major More ❯
NIST AI RMF, EU AI Act) and responsible AI design. Strong stakeholder skills-able to bridge the gap between business needs and technical delivery. Hands-on experience with Azure OpenAI, Azure ML, Databricks, M365 extensibility-or similar stacks. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates More ❯
coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff, including alumni from Anthropic, DeepMind, OpenAI and ML professors from Oxford and Cambridge. In addition to Junior roles, Senior, Staff and Principal RE positions are available for candidates with the required seniority and experience. Person Specification More ❯
code review, integration and deployment Claude Code for agentic coding AWS S3 , CloudFront and Lambda for storage and content delivery Cypress for end-to-end testing Third party APIs: OpenAI, Stripe, Twilio, Sendgrid, Mailchimp and more We follow an agile development process with fortnightly sprints. We keep meetings to a minimum, but the ones we do have are highly valuable. More ❯
code review, integration and deployment Claude Code for agentic coding AWS S3 , CloudFront and Lambda for storage and content delivery Cypress for end-to-end testing Third party APIs: OpenAI, Stripe, Twilio, Sendgrid, Mailchimp and more We follow an agile development process with fortnightly sprints. We keep meetings to a minimum, but the ones we do have are highly valuable. More ❯
Tools: Familiarity with AWS, Docker, GitHub Actions, and monitoring tools like Grafana. Mindset: Passionate about improving developer workflows and creating exceptional user experiences. Knowledge: Exposure to AI technologies like OpenAI, ChatGPT, and fine-tuning models is highly valued. Collaboration: Strong problem-solving skills and a team-oriented attitude. Availability: Ability to work in the London office at least three days More ❯
code review, integration and deployment Claude Code for agentic coding AWS S3 , CloudFront and Lambda for storage and content delivery Cypress for end-to-end testing Third party APIs: OpenAI, Stripe, Twilio, Sendgrid, Mailchimp and more We follow an agile development process with fortnightly sprints. We keep meetings to a minimum, but the ones we do have are highly valuable. More ❯
application for deployment in various environments such as Docker and Kubernetes. Automate deployment processes to ensure smooth and consistent releases and manage version control and release cycles. Use Azure OpenAI service and IDA for deployment, requiring a mid to senior-level engineer. More ❯
Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration: Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React … leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs. Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency. Background in B2B data products or fintech. More ❯
