Python Jobs

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.

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.

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.

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.

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

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.