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Replit

Replit is seeking a skilled PSIRT Engineer to lead its vulnerability response program for its cloud-native AI platform. This role involves managing the entire lifecycle of security vulnerabilities, from intake and validation to remediation coordination and public disclosure. The ideal candidate will possess strong technical skills to reproduce vulnerabilities, a deep understanding of web, application, and cloud exploit classes, and experience with bug bounty and coordinated disclosure programs. You will collaborate closely with various engineering and security teams to ensure timely fixes and responsible communication.

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 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.

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.

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.

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.

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

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a Software Engineer, Agent to design and deliver production-grade AI agents that are central to Sierra's growth and revenue. These are not prototypes but scalable systems running in production across various industries. You will own the Agent Development Life Cycle (ADLC) from pilot to deployment and iteration, establishing best practices. This role involves partnering directly with leaders at large enterprises and cutting-edge startups to understand their challenges and build AI agents that transform their operations. Your customer interactions will also shape the evolution of Sierra's core platform, influencing new tools, features, and the future of AI agent development.

Replit

Replit is seeking a Senior Product Engineer for its Product Foundry team. This team is responsible for driving industry disruption and achieving 10x scale by launching high-risk, full-stack initiatives that create new product categories. The Product Foundry acts as Replit's internal innovation engine, aiming to transform Replit into the foundational operating system for the next generation of software, where AI Agents are the primary actors. The role involves building for creators and enterprises, equipping them with tools to build anything, anywhere, and operates within a high-agency founding team model with autonomous squads focused on rapid iteration and market validation.

Decagon is seeking a dynamic and wide-ranging Revenue Strategy & Operations Manager to join their team. This role will be instrumental in shaping the company's go-to-market strategy and driving its execution. You will own a broad platform, lead strategic, GTM-wide initiatives, and serve as a trusted day-to-day partner to senior business leaders. The position involves managing GTM forecasts and KPIs, optimizing business performance and efficiency, establishing new processes, and executing high-leverage operations with field teams. This is a high-impact, high-agency position with the opportunity to significantly influence the trajectory of a category-defining AI company.

Inworld is seeking a Staff/Principal Machine Learning Engineer to join their research lab focused on building top-ranked real-time voice models. These models power large consumer-facing AI applications across various sectors. The role involves optimizing real-time inference, developing best-in-class APIs and products, and contributing to the research and development of state-of-the-art models. The ideal candidate is a fast learner who thrives in ambiguity and can demonstrate a strong portfolio of built, broken, and understood systems. This position emphasizes impact, shipping stable code, and a deep understanding of the underlying logic behind engineering decisions.

Inworld is seeking a Staff/Principal Machine Learning Engineer to join their research lab focused on building top-ranked real-time voice models. These models power large consumer-facing AI applications across various sectors, reaching hundreds of millions of end-users. The role involves optimizing real-time inference, developing state-of-the-art models, and creating best-in-class APIs and products. The ideal candidate thrives in ambiguity, learns quickly, and can demonstrate a strong track record of building, breaking, and understanding complex systems. This position emphasizes impact, shipping stable and reliable systems, and a deep understanding of the underlying logic behind engineering decisions.

£140k - £200k

Inworld is a research lab building top-ranked real-time voice models used in large consumer-facing AI applications. We are seeking a Senior/Lead Machine Learning Engineer to optimize real-time inference and create best-in-class APIs and products. This role involves tackling complex, ambiguous problems and driving impact through shipped, stable systems. We value engineers who are comfortable with ambiguity, have a bias for action, and obsess over performance, latency, and reliability as core product features.

Inworld is seeking a Senior / Lead Machine Learning Engineer to join our team in Germany. We are a research lab building top-ranked real-time voice models used in large-scale AI applications across various sectors. Our work involves research, development, optimizing real-time inference, and creating best-in-class APIs and products. We are looking for fast learners with a strong ability to build, break, and understand systems, who thrive in ambiguity and can demonstrate their past work. This role emphasizes full-cycle ownership, taking models from research to production-ready serving.

Inworld is seeking a Staff/Principal Machine Learning Engineer to join their team in Mountain View, USA. This role focuses on optimizing real-time inference for state-of-the-art AI models, which power large consumer-facing applications. The ideal candidate will have a strong background in systems programming and a proven ability to take models from research to production, ensuring reliability and performance. The company values engineers who can navigate ambiguity, drive impact, and deeply understand the underlying logic of their work, fostering a collaborative and fast-paced environment.

$270k - $500k

Fal

We are seeking a Security Engineer, Infrastructure to safeguard the core systems powering fal.ai's platform, including GPU compute, multi-cloud environments, networking, and data pipelines. This role involves hands-on, systems-oriented work across the full stack, from cloud and Kubernetes to identity, networking, and secrets. You will be responsible for designing and implementing scalable security controls at the intersection of security, infrastructure, and distributed systems, ensuring the integrity and safety of our high-performance AI platform.