Kafka Jobs

Fiddler is building trust into AI, especially with the rise of Generative AI and Agents. Our platform helps organizations deploy trustworthy and transparent AI solutions by monitoring, evaluating, securing, analyzing, and improving AI applications. We partner with AI-first organizations to establish responsible AI practices, fostering user trust. Our Integrations Team focuses on the connective tissue between customer AI stacks and our observability platform, building OpenTelemetry-native SDKs, framework instrumentation, and ingestion pipelines for various AI environments including predictive models, LLMs, GenAI, and agentic applications. This role offers a broad scope, combining SDK/instrumentation leadership, OpenTelemetry expertise, distributed systems architecture, and AI observability platform development.

This role is critical in architecting and scaling the trust infrastructure to protect over 70 million users while maintaining the platform's creative freedom. You will design distributed systems for real-time content scanning, anomaly detection, and rate limiting. This includes defining and evolving the core data model and storage systems for abuse detection, and developing high-volume event pipelines and internal tools to enable swift threat response by support teams. You will join a small, high-impact team focused on building the foundation for trust at scale, working across databases, public APIs, and event infrastructure. The position requires balancing long-term technical investments with rapid shipping velocity and collaborating across engineering, product, and design to shape the future of safety at the company.

$180k - $310k

As a Machine Learning Engineer on the Marketplace team, you will build the models and decision systems that power Mercor's hiring engine. This includes search and ranking, candidate-job matching, marketplace recommendations, personalization, and allocation decisions across a rapidly growing talent network. This is an applied ML role with direct product and revenue impact, working on problems shaped by real marketplace constraints such as sparse and delayed labels, cold start, noisy feedback, heterogeneous supply and demand, and the need to optimize across speed, quality, and conversion simultaneously.

Together AI

You will join the Data Platform team, responsible for building the backend services and data products that power how data moves through the company. This involves creating core platform primitives like high-quality event streams, reliable access layers, and developer-friendly APIs and tools. The goal is to enable teams across the organization to self-serve their data needs and ship faster. You will contribute to backend services that derive value from company data and enhance the self-serve capabilities of the data platform, allowing product and engineering teams to easily create and operate event-driven architectures, publish/consume streams, define access models, and manage data products end-to-end. Additionally, you will work on LLM-adjacent services, including prompt categorization, enrichment, and metadata systems, transforming raw telemetry into trusted, usable products with guidance from experienced engineers.

$120k - $170k

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI model lifecycle, combining a fast LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform. This platform is designed to be highly available, global, and extremely fast, virtualizing cutting-edge ML hardware and enabling practitioners with self-serve AI cloud services. It serves both internal StaaS products and external cloud customers across numerous data centers worldwide.

$160k - $230k

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Lead/Manager, you will play a key role in building the Together cloud platform engineering team in the Netherlands. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.

OpenAI

The Scaled Abuse team at OpenAI is responsible for protecting the company's products and customers by detecting, preventing, and responding to fraudulent and abusive behavior at scale. This role involves building and operating backend and data systems that power real-time detection, investigation workflows, and enforcement. The work requires a blend of engineering and abuse expertise, partnering with various teams to understand attack patterns and harden defenses. The ideal candidate is comfortable with ambiguity, can quickly learn new codebases, and can propose pragmatic improvements to enhance system resilience.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a Software Engineer to join our full-stack data team. You will be instrumental in building systems that enhance the intelligence of our AI agents with every interaction. This role involves developing real-time pipelines, analytics products, and personalization primitives to transform customer conversations into business outcomes. You will contribute to architecting and building our core data platform for low-latency, large-scale data handling, including real-time eventing, streaming and batch ETL, and our data lakehouse. Additionally, you will develop systems for long-term agent memory, reusable Customer Data Platform (CDP) primitives, and optimization loops for personalized interactions that demonstrably improve business results.

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.

Harvey

Harvey is transforming legal and professional services by combining frontier agentic AI with an enterprise-grade platform. We are a fast-scaling company with strong product-market fit, seeking individuals who want to do the best work of their careers alongside driven colleagues. Our values are Decisiveness, Simplicity, and Job's Not Finished, emphasizing quick action, scalable solutions, and continuous improvement. As a Staff Database Engineer, you will define and evolve our global PostgreSQL database infrastructure. This leadership role involves setting technical strategy for our fleet, establishing standards for migration governance, driving multi-region scaling architecture, and ensuring data layer reliability. You will partner with senior engineers on roadmap decisions while also being hands-on in diagnosing and resolving critical issues.

$191k - $325k

Hebbia is seeking an Integrations Engineer to own the full lifecycle of integrations that power its AI platform. This role involves designing, deploying, monitoring, and debugging data pipelines that bring customer data from various enterprise systems into Hebbia's platform. You will work with complex, real-world data environments, building resilient, production-grade systems that handle unreliable APIs, evolving schemas, and massive datasets. This is a hands-on, high-ownership, and deeply technical position where you will develop expertise in distributed systems, data pipelines, and large-scale debugging, gaining exposure to real production systems with immediate customer impact.

$160k - $265k

HeyGen is seeking a Software Engineer with data engineering responsibilities to bridge the gap between core application development and large-scale data infrastructure. You will help build the data foundational layers for our next-generation features, enabling AI models to function in real-time, building robust pipelines for multimedia, and powering engaging user experiences. This role is crucial for developing cutting-edge features like PPT-to-video converters and interactive, conversational video capabilities.

$180k - $220k

Harvey

Harvey is transforming legal and professional services by combining AI, an enterprise platform, and domain expertise. This is a chance to help build a generational company at an inflection point, with strong product-market fit and investor support, as we scale rapidly and define a new category. The team moves fast, takes ownership, and is committed to the mission, valuing decisiveness, simplicity, and continuous improvement. As a Backend Platform Engineer, you will build and operate the cohesive backend platform supporting all Harvey services. This role focuses on designing and implementing shared frameworks and libraries to abstract common concerns, enhance developer experience, and improve reliability and performance across teams, enabling product engineers to focus on shipping features.

$238k - $290k

Hebbia is seeking a Backend Engineer to join the Agent Collaboration Platform team. This team builds interactive tools for AI agents, including a generative spreadsheet that coordinates complex agentic workflows. The role involves blending expertise in systems, application layer software, and data modeling to create highly efficient software solutions. You will integrate product experience with powerful distributed systems and contribute to Hebbia's technical edge through elegant software design and sophisticated integrations. We value engineers who are fast-moving, accountable for quality, and detail-oriented.

$160k - $350k

Hebbia is building the AI platform for investors and bankers that generates alpha and drives upside. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis, trusted to help manage over $30 trillion in assets globally. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for Matrix and deep, multi-source research, utilizing custom agentic frameworks powered by distributed systems built for scale. We aim to build steerable, reliable, and explainable agentic systems for the scale of data our customers bring to the table, creating a product that becomes indispensable and delightful. A backend engineer at Hebbia blends expertise in systems, application layer software, and data modeling to build highly efficient software solutions. You will be responsible for leveraging the latest software and agentic solutions and integrating product experience with powerful distributed systems. You’ll help protect Hebbia’s technical edge via elegant software design, efficient data communication, and sophisticated integrations. We value engineers who move fast, hold themselves accountable to quality, and are detail-oriented.

$160k - $350k

Hebbia is seeking a Backend Software Engineer to join the Growth and Data team. This role is crucial for building and maintaining the backend systems that power user engagement and the expansion of Hebbia's AI platform for investors and bankers. You will be responsible for architecting and implementing robust APIs, services, and infrastructure to deliver tailored, high-value customer experiences, including personalized data views and powerful integrations. Collaborating with product, design, and frontend teams, you will own core backend features from conception to deployment, ensuring scalability, reliability, and performance. Your contributions will directly impact customer success and drive the adoption and growth of the Hebbia platform.

$160k - $350k

Hebbia is building an AI platform for investors and bankers to generate alpha and drive upside. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis, trusted to help manage over $30 trillion in assets globally. The Document Intelligence team focuses on developing cutting-edge AI solutions for discovering and interacting with billions of documents, enabling intelligent exploration, powerful search, and deep insights extraction. We aim to empower users by transforming vast document repositories into actionable intelligence.

$160k - $350k

OpenAI

The Engineering Acceleration team designs, builds, and maintains the foundational systems that engineers use to build ChatGPT and the API. This is a fast-growing team where you will have the opportunity to own and define the strategy, vision, and plan for increasing developer productivity. You will drive the design, development, and implementation of tools, systems, and processes that accelerate engineering velocity, reduce manual effort, and increase the quality of output. You will also use our latest AI tools to re-think how we can be the most productive team in the industry, working closely with various teams within OpenAI to understand their workflows, challenges, and needs.

Mistral AI

Mistral AI is a pioneering company focused on democratizing AI through high-performance, open-source models and solutions. We are seeking passionate and skilled software engineers to join our dynamic, collaborative team. In this role, you will design, build, and maintain our data infrastructure, ensuring data accuracy, accessibility, and security. Your contributions will be crucial in enabling our science teams to enhance AI model quality and empowering business users to make informed decisions.

OpenAI

The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary but also secure from a myriad of adversarial threats, striving to maintain the integrity of our platforms as they scale. This role is crucial for maintaining the trustworthiness of our platforms by developing robust defenses against a spectrum of adversarial behaviors that threaten our ecosystem. You will be pivotal in designing and implementing systems that detect and prevent abuse, promote user safety, and reduce risk across our platform, ensuring that the immense potential of AI is harnessed in a responsible and sustainable manner.