Source Job

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
• Improve reliability, performance, and safety across existing Python codebases

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

Lead and mentor a team of AI engineers, providing coaching and performance feedback. Oversee the delivery of AI-powered product features, from prototypes to scalable production systems. Collaborate with Product, Design, and Data teams to ensure AI solutions are impactful and aligned with business goals.

Hostinger is shaping the future of online success powered by AI and driven by people, providing tools that help individuals and small businesses succeed online faster and easier.

• Design scalable, future-proof data platforms optimized for AI research workloads.
• Build efficient self-serve data processing pipelines leveraging GCP's advanced services.
• Implement guardrails for cost, quality, and performance.

AssemblyAI is at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding via an API. They're a remote team of startup veterans and AI researchers looking to build one of the next great AI companies.

• Train and tune machine learning models.
• Explore data and conduct feature engineering.
• Apply natural language processing to understand text and aid in conversational interfaces.

BambooHR is building a people intelligence platform that transforms HR and sets people free to do great work.

As a Forward Deployed Software Engineer III, you will build custom solutions that unlock the potential of our healthcare data map and advance Komodo's full-stack strategy. Implement algorithms, APIs, and custom features for customer use cases. Collaborate with Data and Product teams to introduce best-in-class methodologies for deployed solutions.

Komodo Health's mission is to reduce the global burden of disease through smarter use of data and the Healthcare Map, the industry’s largest view of the U.S. healthcare system.

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows.
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
• Improve reliability, performance, and safety across existing Python codebases.

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• Design and deliver data access patterns and ingestion workflows.
• Work with technical roles and domain experts to turn AI use cases into production-ready capabilities.
• Build lightweight ingestion or sync pipelines to bring priority datasets from various source systems into platforms that enable AI use.

RWS is building the next generation of AI-enabled capabilities across our products, internal production systems, and enterprise platforms.

Leads the AI roadmap from concept to production. Builds production-ready, accurate, and reliable AI agents. Continuously improves performance of AI solutions.

Symbe is an innovative business intelligence startup that automates business case creation for sales teams, helping them effectively demonstrate value.

• Own end-to-end implementation of AI-powered product features, from prototypes to production.
• Mentor other engineers on the team, leveling up the team as a whole.
• Collaborate across the organization to support shipping these features to production.

Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do!

Work on impactful AI and machine learning projects and contribute to solutions. Help build and support machine learning models and AI systems that power Experian's products and services. Participate in research and experimentation with new AI techniques and tools and machine learning models focusing on real-world applications.

Experian is a global data and technology company, powering opportunities for people and businesses around the world.

• Build FastAPI services, Pydantic models, evaluation tooling, integrations with device APIs, and guardrails to keep responses safe and useful.
• Drive implementation for Phase 2 of the AI Sleep Chat targeting Q2 2026.
• Translate voice/text commands into device API calls, design and implement multi-agent architecture for command processing pipeline.

At Hatch, they’re on a mission to help people build better sleep habits—so they can feel more focused, energized, and present in their lives.

Improve the performance and lifecycle of production ML systems. Collaboratively design and deploy end-to-end ML models, LLMs, and agent systems. Lead the strategy and execution of proofs of concept to validate technical feasibility.

Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets by leveraging AI and machine learning technologies.

Design and implement agentic architecture, defining context management, data flow, and action orchestration. Build AI variables capable of autonomous action loops to enrich leads and trigger actions. Deliver Copilot v1, initially semi-agentic, with potential for autonomous workflows, while implementing monitoring of all output.

lemlist is a global B2B SaaS business with $43M ARR, fully bootstrapped, profitable, and growing fast, shipping one of the most loved Sales Engagement Platforms worldwide.

• Design, implement, and deploy AI-powered features, including model training, fine-tuning, and prompt engineering workflows.
• Translate product requirements into robust, production-ready AI solutions, working with Product Managers, Software Engineers, and Data Scientists.
• Optimize models and infrastructure for scalability, latency, and cost efficiency, partnering with DevOps and MLOps to ensure reliable and maintainable AI pipelines.

Paper is reimagining how schools support students so that every learner can reach their full potential.

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
• Improve reliability, performance, and safety across existing Python codebases

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• Building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data.
• Developing applications on Google Cloud and working with customers to understand their requirements.
• Implementing best practices and state-of-the-art techniques for AI and LLMs.

Egen is a fast-growing and entrepreneurial company with a data-first mindset which brings together the best engineering talent.

• Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development.
• Develop and maintain data processing pipelines for getting the data required to build and evaluate models.
• Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users.

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere.

• Implement the company’s AI strategy to set the foundation for AI initiatives.
• Lead the design, development, and rollout of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) based solutions.
• Develop and deploy AI models and solutions into the company’s cloud infrastructure.

Horizons is building the infrastructure to power borderless teams by handling global payroll, benefits, taxes, and compliance through technology.

Build backend and pipeline systems that turn models into real search experiences for 110M+ daily users, owning data flows, ranking and retrieval services, and low-latency model-serving APIs. Integrate models into production through robust interfaces and DAGs, enabling fast iteration and powering discovery across the internet’s largest community platform. Ensure pipelines and systems support high scale, low latency, and operational excellence.

Reddit is a community of communities built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.

• Review AI-generated responses and evaluate technical accuracy.
• Provide expert feedback to train AI systems to write better code.
• Work with various programming languages and coding challenges.

G2i connects subject-matter experts, students, and professionals with flexible, remote AI training work such as annotation, evaluation, fact-checking, and content review.