Architect and build agentic workflows that combine large language models, reasoning components, and data pipelines.
Lead the design and development of advanced ML/NLP products, from ideation to production.
Drive experimentation with new approaches for agentic reasoning, coordination, and autonomous system design.
SmartRecruiters is the Recruiting AI Company that transforms hiring for the world’s leading enterprises. Built for global scale, SmartRecruiters, an SAP company, delivers an AI-powered hiring platform that automates and optimizes the entire talent acquisition process. They are a values-driven, globally focused tech company with strong financial backing and a bold vision for the future of work and foster a collaborative and inclusive work environment.
Contribute to designing, evaluating, and shipping our mental health AI Agent and its supporting infrastructure.
Develop and maintain robust data pipelines to power model training and evaluation.
Partner with AI Research, Product, and Engineering teams to define new features.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform. They aim to make world-class healthcare available anytime, anywhere, while significantly reducing costs. Backed by clinical studies and patents, Sword Health has raised more than $500 million from leading investors.
Build and deploy AI models with RAG and tool calling for various product features.
Collaborate with frontend and backend engineers to bring AI features into production.
Stay updated with the latest AI research and propose innovative applications relevant to Finom’s mission.
Finom is a European tech startup headquartered in Amsterdam, revolutionizing financial services for entrepreneurs. They offer an all-in-one B2B financial solution integrating banking, accounting, financial management, and invoicing into a seamless, mobile-first platform, actively expanding across key EU markets.
Design and implement production-grade RAG pipelines and agentic workflows using Python.
Evaluate new models and prototype approaches for SBIR/government deliverables.
Document architectures and contribute to technical reports for contract deliverables.
Unstructured is focused on transforming unstructured data into a format usable by LLMs. Their Public Sector team works on high-impact contracts and seek to bridge the gap between custom builds and a scalable product roadmap.
Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences.
Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning.
Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products.
Weave provides an all-in-one platform for small businesses to streamline communications, and patient experiences. The company has a phenomenal culture, and Weave's teams are cross-functional agile teams composed of a product owner, backend and frontend devs and devops.
Design, develop, and deploy intelligent AI Agents using Python-based frameworks.
Architect and implement robust Retrieval-Augmented Generation (RAG) pipelines from scratch.
Integrate LLMs into public sector and healthcare applications while ensuring high accuracy and reliability.
Deutsche Telekom IT Solutions, a subsidiary of the Deutsche Telekom Group, is Hungary’s most attractive employer in 2025. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees, serving hundreds of large customers, corporations in Germany and in other European countries.
Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
Yelp's mission is connecting people with great local businesses, requiring the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI). Their engineering culture values individual authenticity and encourages creative solutions, supporting growth in a collaborative environment.
Focuses on simplifying the infrastructure behind large language model (LLM) integrations, runtime orchestration, and data workflows.
Work at the intersection of LLM tooling, serverless infrastructure, and financial data systems.
Make spawning new research pipelines seamless and scalable.
The client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. They help customers by working with the world’s leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
Develop and maintain backend services using Python, focusing on AI-driven applications.
Design and implement APIs for seamless integration with AI models and services.
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans. They are rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve.
Build and ship AI-powered product and internal solutions using LLMs, RAG, tool calling, workflows, and agentic patterns
Design quality and evaluation frameworks for AI systems, including offline evals, online signals, failure analysis, and continuous improvement loops
Contribute to AI platform and tooling decisions that improve reuse, speed, and consistency across teams
Finom is a European tech startup headquartered in Amsterdam, revolutionizing financial landscape for entrepreneurs. They develop an all-in-one financial B2B solution integrating banking, accounting, financial management, and invoicing into a mobile-first platform and nurture innovation in an inspiring work environment.
Work with designers and product managers to create high-performing product features.
Apply ML techniques to LLM-based approaches with a strong focus on reliability, performance, and maintainability.
Optro is the leading audit, risk, ESG, and InfoSec platform on the market and has surpassed $300M ARR. They inspire each other to innovate and assist each other to create the most loved platform, which has allowed them to become one of the 500 fastest-growing tech companies in North America.
Collaborate with Cohere’s Modelling Safety team on implementing novel research ideas.
Conduct cutting-edge machine learning research, training and evaluating production large language models.
Focus on research projects aimed at making models better understood, safer, more reliable, more inclusive, and more beneficial for the world
Cohere scales intelligence to serve humanity. They train and deploy frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search and agents. They are a team of researchers, engineers, and designers.
Architect and scale the core intelligence behind our platform.
Design, build, and optimize the pipelines and agent systems that drive live customer interactions.
Build real-time and batch pipelines for ingestion, training, and inference.
Raynmaker is building RaynBrain, an agentic AI platform for complex conversations grounded in machine learning, neuroscience, and forensic linguistics. They empower autonomous systems that interpret, adapt, and act in real time, turning raw leads into revenue without scripts or human handoffs. Raynmaker is a small team helping other small teams move faster and convert more leads.
Design, implement and validate high-reliability, distributed platforms for machine learning, natural language processing, and LLMs.
Create, debug, interpret and improve production machine learning and natural language processing models.
Build the tools and validation processes that help Counterpart translate insights into action at scale.
Counterpart Health transforms healthcare and improves patient care with its innovative primary care tool, Counterpart Assistant. They are a subsidiary of Clover Health, with an exceptional team of value-based care and technology experts, driving value-based care at the speed of software.
Bring deep expertise in machine learning and applied AI to turn emerging techniques into practical solutions.
Provide broad technical leadership across teams while remaining hands-on in applied research and innovation.
Guide major technical decisions, identify opportunities for differentiation, and translate new ideas into future product capabilities.
Kinaxis is a global leader in modern supply chain orchestration that powers complex global supply chains and supports the people who manage them. They have grown to become a global organization with over 2000 employees around the world, with 6 global offices and a best-in-class HQ in Ottawa, Canada.
Osano is an innovative B-Corporation focused on giving modern enterprises the ability to innovate quickly and earn customer trust by respecting data privacy and complying with consent guidelines. We are scaling fast with a multi-year runway and ambitious growth plans.
Embed with strategic enterprise customers to rapidly diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site.
Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications.
Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization.
Cayuse is an industry leading DataCenter. The company is an Equal Opportunity Employer where all employment decisions are based on merit, qualifications, skills, and abilities.
Design and implement production-scale AI agent systems and orchestration frameworks.
Deploy and optimize LLMs/SLMs in production with fine-tuning techniques.
Build data pipelines for training data curation, synthetic generation, and PII masking.
FourKites is the leader in AI-driven supply chain transformation for global enterprises and a pioneer of advanced real-time visibility. They turn supply chain data into automated action helping 1,600+ global brands prevent disruptions. They provide competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe.
Define and lead the technical vision for Cresta’s next-generation Agentic AI systems.
Architect scalable, production-grade LLM systems that integrate reasoning, retrieval, planning, tool use, and real-time decision-making into cohesive, intelligent workflows.
Own evaluation strategy for complex, non-deterministic AI systems, including offline benchmarking, online experimentation, LLM-as-a-judge methodologies, and systematic failure analysis.
Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Their platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster.
Contribute to the entire development cycle of our cutting-edge large deep learning models.
Collaborate across engineering and clinical teams to translate cutting-edge AI research into practical applications that have clinical implications.
Influence progress of relevant research communities by producing publications.
Sword Health is shifting healthcare from human-first to AI-first through their AI Care platform, making world-class healthcare available anytime, anywhere, while significantly reducing costs. Sword began by reinventing pain care with AI at its core, and has since expanded into women’s health, movement health, and more recently mental health.