Find your next AI Engineering role

We are seeking a Member of Technical Staff specializing in Post Training to own the end-to-end post-training pipeline for our multimodal generative models. This role is crucial for transforming foundation models into polished products, encompassing data strategy, reward modeling, preference optimization, distillation, and safety tuning across image, editing, and video modalities. You will be instrumental in driving significant improvements in model quality, developing the infrastructure that accelerates research team iteration, and advancing the state-of-the-art in aligning generative models with human intent. This is a Staff/Senior individual contributor position for someone with proven experience shipping post-training for a frontier model.

€130k - €340k

We are seeking a Member of Technical Staff focused on pretraining to join our research team. This role is central to developing the next generation of multimodal foundation models for image, video, and audio. You will have a significant impact on shaping training objectives, architectures, data strategies, and systems, with your research directly influencing products used by millions. This is a Staff/Senior individual contributor position for someone with proven experience leading frontier pretraining efforts.

€130k - €340k

Mercor is seeking its first Agentic Finance Engineer to join their team. This foundational role sits at the intersection of finance, data engineering, and applied AI, responsible for building and deploying the modern data and automation stack from the ground up. You will architect scalable financial data models, integrate AI agents into real workflows, and transform manual, spreadsheet-driven processes into reliable, production-grade systems. The ideal candidate possesses deep finance domain knowledge, understanding core financial operations, and has the technical fluency to translate this into automated systems. You should be comfortable with both SQL and communicating with executive leadership, thriving in a zero-to-one building environment.

$175k - $250k

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. The MLOps Engineer will own the model lifecycle across all deployments, ensuring systems are always operational, accurate, and auditable. This role involves supporting field engineers and managing deployment infrastructure for new products, with an uncompromising standard for reliability, as model failures are considered operational risks.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. As a Strategic Deployment Engineer, you will be embedded with clients, owning the entire lifecycle of AI system deployments in complex and often constrained environments like air-gapped or on-premise settings. You will act as the primary technical point of contact for your assigned accounts, with success measured by system functionality, client trust, and durable capability creation, rather than just ticket closure. This role offers significant autonomy and accountability for the system, client relationship, and overall outcomes.

Sarvam is building the bedrock of Sovereign AI for India, developing a full-stack sovereign AI platform across research, models, infrastructure, and applications. The company partners with leading enterprises and public institutions, backed by prominent venture capital firms and collaborating with India's top brands. This role involves working across the full lifecycle of vision-language model (VLM) development, including data, training, evaluation, and production. We seek researchers who are comfortable with the evolving nature of the field and can take a leading role.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. We are seeking product managers who are builders at heart, constantly engaging with customers, shipping products to users, and understanding the intricacies of AI systems in production. This role offers the flexibility to work across various product lines, including consumer AI, enterprise platforms, developer tools, speech and voice systems, or edge deployments, depending on your strengths and interests.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. The company partners with leading enterprises and public institutions, backed by prominent investors. As the Partnerships & Alliances Lead (GSIs), you will be responsible for building and scaling partnerships with India-based and global GSIs operating in India. Your primary goal is to transform Sarvam's sovereign AI stack into repeatable GSI offerings and co-sell motions that generate measurable revenue in both Indian and global markets.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. We partner with leading enterprises and public institutions. We are seeking a Model Product Manager to lead initiatives for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and model evaluation pipelines. In this role, you will collaborate closely with research and engineering teams to define product roadmaps, manage training and evaluation processes, and deliver models that enhance product experience and reliability.

OpenAI

OpenAI's Hardware organization is developing AI-native silicon and system-level solutions for advanced AI workloads. We are seeking a systems-minded engineer to advance our kernel development, performance engineering, and hardware-software co-design capabilities, with a focus on AI-assisted workflows and tooling. This role sits at the intersection of kernel optimization, developer tooling, observability, and research infrastructure, aiming to improve how production kernels are built and optimized, and how future hardware-software systems are designed and evaluated. The ideal candidate is excited by low-level performance work and sees AI and automation as powerful tools for accelerating engineering velocity, helping to define the future of kernel engineering in the era of AI-assisted development.

Poolside is building a company to create Artificial General Intelligence, aiming to be a leader in applied research, engineering, infrastructure, and large-scale deployment. We are a remote-first team across Europe and North America, coming together monthly for in-person collaboration. Our R&D and production teams value strong software development knowledge and believe good engineering drives faster iteration. This role focuses on evaluation, a critical pillar for building frontier models and products. You will design and implement a powerful, self-serve evaluation framework to enable easy building, running, and insight extraction from evaluations at scale, supporting our research and development efforts.

Poolside is building a company to create Artificial General Intelligence, aiming to be a leader in applied research, engineering, infrastructure, and large-scale deployment. We are a remote-first team spread across Europe and North America, with monthly in-person meetups and biannual offsites. Our teams blend research and engineering expertise, emphasizing strong software development knowledge and a commitment to system quality for faster iteration and compounded efforts. This role is crucial in ensuring our progress translates into meaningful improvements for our users.

Embedded Infrastructure Engineers at Sarvam design, build, and maintain the data infrastructure essential for deploying AI systems at client sites. You will collaborate with Embedded Data Scientists and Strategic Deployment Engineers to ensure the reliable and performant ingestion, storage, querying, and serving of terabyte-scale datasets to AI reasoning engines. This involves constructing and managing data platforms capable of handling large volumes of structured records, documents, imagery, audio, and geospatial data, including databases, object stores, ingestion pipelines, and processing layers. You will be responsible for making key decisions regarding storage architecture, indexing strategies, pipeline orchestration, and system performance, often in challenging environments like air-gapped or operationally sensitive settings that preclude the use of standard cloud services or enterprise tooling. Ultimately, you will own the reliability and performance of the infrastructure layer for your assigned accounts.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. As an Embedded Data Scientist, you will be deployed alongside Strategic Deployment Engineers at client sites. Your primary role is to transform complex client data into structures that AI systems can reliably reason over. This involves working directly with client data environments, understanding and structuring heterogeneous, multimodal datasets (including documents, images, audio, geospatial data, and structured records), and designing the semantic structures that enable AI interpretation and reasoning. You will define data representation within AI systems, including document segmentation, metadata, entity relationships, and cross-modal connections, by designing ontologies, tagging systems, and knowledge graph structures. You will own the quality of the data layer, ensuring the system is built on a foundation for reliable, scaled reasoning, often working with sensitive datasets where standard tooling may be absent.

Sarvam is building India's full-stack sovereign AI platform, focusing on making AI genuinely work for India across research, models, infrastructure, and applications. This intellectually demanding role anchors the evaluations function for the AI vertical. You will design, build, and maintain evaluation frameworks to measure model and system quality in operational contexts, focusing on domain-specific, high-stakes use cases where accuracy is critical. You will collaborate closely with MLOps Engineers, Product Managers, and the deployment team to ensure deployed AI systems meet stringent quality standards.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. As a Backend Engineer, you will design and implement the core system infrastructure powering Sarvam's 'atoms', including MCP servers, on-prem deployment tooling, document ingestion pipelines, agentic backends, and API layers. These systems operate in constrained environments, and the architecture decisions you make will have a lasting impact. You will ship real systems and be accountable for their performance in the field.

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing international offices. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, Google, and OpenAI. We are seeking a Software Engineer, Agent to design and deliver production-grade AI agents that are central to Sierra's growth, driving revenue and transforming how businesses operate at scale. This role involves full ownership of the Agent Development Life Cycle (ADLC), from pilot to iteration, and requires building, tuning, and evolving AI agents in production environments.

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences using AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing international offices. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI. We are guided by core values of Trust, Customer Obsession, Craftsmanship, Intensity, and Family.

OpenAI

We are seeking an experienced Product Manager to define and scale the construction of our data processing, data privacy, billing, and access controls products. You will set strategy and execute on projects like expanding our regional data processing footprint, enabling new inference caching controls in the API, or building APIs that make it easier for organizations to manage their spend limits. You will also define the strategy and ship foundational capabilities that ensure customers use OpenAI products securely, privately, and with enterprise-grade controls. This role partners deeply with engineering, security, legal, compliance, finance, and leadership to deliver high-trust, enterprise-grade systems.

Abridge

Abridge is seeking a Director of Data Science to build a world-class data team and implement a comprehensive data strategy that democratizes data in the age of AI. This role is crucial for providing insights, clarity, and speeding up decision-making across the company. The Director will collaborate closely with Product, Engineering, Science, commercial, and finance teams to guide strategic decisions and drive product strategy through data-driven insights.

Mistral AI

Mistral AI is a pioneering company democratizing AI through high-performance, open-source models and a comprehensive AI platform for enterprise needs. We are a dynamic, collaborative, and diverse team passionate about AI's potential to transform society. As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes in cybersecurity.

Nabla is seeking a Senior Full-Stack Engineer to join a cross-functional squad and contribute end-to-end to a specific part of the product. This role involves taking a leading role in building and scaling Nabla’s AI-powered healthcare platform, working across the stack from back-end services to web, desktop, and mobile applications. You will collaborate closely with Product, Design, and Machine Learning teams to deliver high-impact features that directly serve healthcare professionals, with the goal of restoring the human connection at the heart of healthcare by streamlining clinical documentation.

Mercor is seeking a Security Engineer to own cloud and infrastructure security at a company where tenant isolation is a critical enterprise requirement. You will architect multi-account AWS isolation, harden Kubernetes clusters, deploy cloud security posture management, and build the infrastructure that lets Mercor serve enterprise clients who demand the highest security bar. This role involves using AI heavily in security work, including building alongside AI code-gen tools, using LLMs to accelerate infrastructure review and policy authoring, and automating repetitive tasks. If you prefer writing Terraform modules over filling out spreadsheets, you will fit in here.

OpenAI

The Safety Measurement Product Manager will lead OpenAI's strategy for measuring harm and the effectiveness of safeguards in production. This role involves driving the development and strategy for a suite of safety measurement platforms and products used across the company. You will collaborate closely with safety research and engineering teams to define what, where, and how we measure safety, influencing critical leadership decisions and informing ongoing safety initiatives. You will also represent the company's primary safety metric and prioritize requests to expand the safety measurement platform to new use cases.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to join their team and facilitate the adoption of their products among customers. This role involves collaborating closely with clients from pre-sale to post-implementation, ensuring their solutions meet and exceed expectations. You will manage daily customer relations, acting as a key resource for externalizing research into production settings and driving the successful deployment of Mistral AI products. The position offers the opportunity to work on state-of-the-art Generative AI applications across various industries and contribute to a pioneering company shaping the future of AI.

OpenAI

OpenAI is seeking an experienced Performance Engineer to enhance the performance, reliability, and efficiency of its critical systems, including ChatGPT and the OpenAI API. This highly technical, individual contributor role involves optimizing infrastructure and application-level performance across various layers, from networking and storage to Python runtime and GPU utilization. You will develop tooling for performance observability, collaborate with cross-functional teams to set performance goals, and influence architectural decisions to prioritize latency, throughput, and cost-efficiency at scale. The role focuses on root-cause analysis, profiling, instrumentation, and driving systemic improvements to address performance regressions and scalability issues.

Skild AI is seeking a Research Engineer to join our post-training team. In this role, you will be responsible for enhancing Skild's foundation models and deploying them onto robots in real-world scenarios. You will collaborate with customers and utilize deployment data to ensure reliable robot behavior, focusing on safety, efficiency, and robustness under operational constraints. This position bridges the gap between strong lab performance and dependable customer deployments, defining the standard for scaling autonomous systems into global infrastructure.

Skild AI is building the world's first general-purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We are seeking a Machine Learning Engineer to design and implement cutting-edge reinforcement learning algorithms for robotic applications. This role involves conducting experiments, optimizing models for real-world robotic environments, and collaborating closely with our robotics, research, and engineering teams. Your work will directly contribute to the development of intelligent, adaptable robots capable of autonomous learning and complex task performance.

Skild AI is seeking a Machine Learning Engineer to design and implement cutting-edge reinforcement learning algorithms for robotic applications. This role involves conducting experiments, optimizing models for real-world robotic environments, and collaborating with robotics, research, and engineering teams. The work will directly contribute to the development of intelligent, adaptable robots capable of autonomous learning and complex task performance.

Cognition is seeking an AI Support Engineer to resolve complex technical issues for customers using their AI software engineer products, Devin and Windsurf. This role involves investigating ambiguous, environment-specific problems across codebases, infrastructure, developer tooling, CI/CD systems, APIs, containers, and cloud platforms. You will be responsible for reproducing bugs, analyzing logs, tracing failures, forming root-cause hypotheses, and driving issues to resolution. The ideal candidate has strong debugging instincts, broad systems knowledge, and the ability to operate with urgency in a fast-paced environment, communicating clearly with customers and partnering with engineering when necessary.

Sierra is building a platform to enable companies to create more human customer experiences with AI. We are seeking a Product Manager for Agent Studio, the central environment for creating, testing, and improving AI agents. This role is pivotal in defining how teams build agents, shaping the systems that transform ideas into functional behaviors, facilitate rapid iteration, and enable continuous agent improvement. It's a zero-to-one and scaling opportunity at the core of Sierra's product.

Sierra is seeking a Product Manager for Voice to lead the development of real-time, human-quality AI conversations. This role is critical for shaping how Sierra agents sound, respond, and behave in live interactions, focusing on the entire voice experience from initial contact to resolution. You will be responsible for ensuring agents perform reliably in production across telephony and real-time systems, working at the intersection of speech, infrastructure, and product experience. This is a zero-to-one and scaling opportunity within a company that partners with industry leaders and is guided by strong company values.

Replit

Replit is seeking a Staff Software Engineer to join their Agent Platform team. This role involves building tools that accelerate product engineers' iteration on the Agent experience and directly enhancing the core Agent itself. You will act as a bridge between the AI and UX teams, tackling complex full-stack challenges from browser interfaces to high-performance backends and Linux systems engineering. The ideal candidate possesses a strong product sense and the ability to power it with performant systems, with opportunities to lead end-to-end efforts and grow across the company's infrastructure and product.

LangChain is seeking a Deployed Engineer to join their team, focusing on making intelligent agents ubiquitous. This role involves working on challenging applied AI problems, building production systems that real teams depend on, and directly shaping how AI agents are built and used in the real world. The feedback loop is fast, the impact is visible, and the work contributes to the evolution of AI agent technology.

$150k - $250k

LangChain is seeking a Deployed Engineer to join their team and work on challenging applied AI problems. This role focuses on building and deploying production AI agents that real teams depend on, offering a fast feedback loop and visible impact. You will be instrumental in shaping how AI agents are built and adopted in the real world, moving beyond demos and research to create reliable systems.

$150k - $250k

Modal is building the next-generation infrastructure layer for AI, enabling companies to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We are seeking a Compute Strategy and Operations Lead to manage the end-to-end procurement of GPU and CPU capacity. This role is critical as the compute secured directly impacts Modal's ability to sell and build its offerings. The ideal candidate will be responsible for anticipating infrastructure needs, sourcing supply from various providers, and negotiating contracts to ensure sufficient capacity.

OpenAI

We are seeking a Software Engineer to join our Foundations Search team, focusing on building and scaling retrieval systems. This role involves developing infrastructure that empowers AI models to access and utilize the correct information precisely when needed. You will collaborate with researchers and engineers to design and manage indexing systems, retrieval pipelines, and serving layers, directly impacting the performance, reliability, and scalability of retrieval across OpenAI's products and research initiatives.

Perplexity is seeking a Member of Technical Staff to join the Answer Quality team. This role focuses on building and improving the technical foundations that support answer quality across Perplexity's LLM-first search engine. You will develop evaluation systems that are fast, reliable, production-faithful, and actionable, including shared evaluation infrastructure and a platform for replaying and analyzing agent traces. You will collaborate with data scientists, engineers, and product teams to identify quality issues, measure their impact, and translate findings into product enhancements, directly shaping how Perplexity measures and improves answer quality.

We are seeking an AI Infrastructure Engineer to join our expanding team. In this role, you will collaborate closely with our Inference and Research teams to construct, deploy, and enhance our extensive AI training and inference clusters. Your work will involve managing Kubernetes and Slurm environments, optimizing distributed training for large language models, and developing robust orchestration systems. This position offers the opportunity to significantly impact the performance and scalability of our AI infrastructure.

We are seeking an AI Infrastructure Engineer to join our expanding team. In this role, you will collaborate closely with our Inference and Research teams to construct, deploy, and enhance our large-scale AI training and inference clusters. Our work involves Kubernetes, Slurm, Python, C++, PyTorch, and primarily operates on AWS.