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.
Design and build production-grade AI systems, including RAG pipelines, multi-step agents, and LLM-powered features.
Build comprehensive evaluation and observability frameworks to measure model accuracy, grounding, and quality drift.
Create production-quality Python services to wrap AI logic into secure microservices.
League, founded in 2014, is the leading healthcare consumer experience (CX) platform powered by AI, reaching over 63 million people globally. Payers, providers, and consumer health partners use League’s platform to deliver high-engagement healthcare solutions and improve health outcomes.
Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques.
Build LLM powered agent systems : Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers.
Solve complex problems : Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data.
Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. They offer their users the insights and visibility they need to nurture and tap into the opportunities in their team's network. With more than 3,000 customers worldwide, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals.
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.
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 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 AI integration patterns and architecture standards across the SaaS platform
Integrate LLM APIs (OpenAI, Anthropic, AWS Bedrock) into production features
Establish model evaluation, benchmarking, and observability processes
PerfectServe offers Best in KLAS clinical communication and physician scheduling solutions and is a Leader in the Gartner Magic Quadrant for Clinical Communication and Collaboration. They have seen an 88% growth rate over the past three years.
You will design, build, and operate core systems that enable autonomous agents to function reliably in production.
You’ll build production-grade agentic workflows, retrieval and memory systems, multi-model execution, and tool-calling integrations that interact safely with enterprise systems.
You’ll explore new approaches, prototype quickly, and turn what works into durable production systems.
Kindo is an agent automation platform for DevOps and SecOps teams. They help organizations automate high-friction operational work using autonomous agents. Kindo is a small, highly technical team with strong customer traction and real enterprise revenue.
Design and build AI solutions for real-world business problems.
Own the end-to-end lifecycle of AI features.
Develop and optimize LLM-based applications.
Remote People is building the infrastructure to power borderless teams. Their technology handles global payroll, benefits, taxes, and compliance, enabling businesses to hire anyone anywhere compliantly at the push of a button. They are committed to building a global, diverse team representing different and varied backgrounds, perspectives, and experiences.
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.
Collaborate with backend architects to integrate AI services into APIs
They are seeking a hands-on AI Engineer with deep expertise in Large Language Model integration and production AI systems. The company's culture sounds innovative and collaborative, focusing on building scalable and secure AI applications.
You will define, build, and evolve foundational systems that enable autonomous agents to operate reliably in production.
You’ll explore new approaches, prototype quickly, and turn what works into durable platform foundations.
You’ll identify high-leverage architectural improvements, abstractions, and guardrails that expand what the platform can do while keeping it reliable, secure, observable, and maintainable under real-world conditions.
Kindo is an agent automation platform for DevOps and SecOps teams, helping organizations automate high-friction operational work using autonomous agents. They are a small, highly technical team with strong customer traction and real enterprise revenue, where engineers have direct ownership over critical systems.
Co-create evaluation frameworks, proctoring solutions, and critical security mechanisms.
Evaluate and implement state-of-the-art AI/ML techniques.
Design, build, and deploy scalable AI services and pipelines.
The company develops and scales a global Certification-as-a-Service platform that automates the entire lifecycle of professional exams. The solution enables companies and organizations to quickly and inexpensively create and administer official online exams/certifications.
Ship AI-powered products and tools from zero to production.
Architect systems that scale beyond demos.
Work across the full stack.
Human Agency partners with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. They are scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines.
Help build, implement, and deploy agentic platforms within client environments.
Focus on building and deploying scalable AI-driven solutions.
Work closely with client stakeholders, technical leaders, and delivery teams to build and roll out agentic capabilities.
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. With a team of 500 experts in 20+ countries, they are trusted by leading enterprises including Lululemon, Puma, and Starbucks.
Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI
Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams
Operate and maintain production applications at scale, ensuring high availability, performance, and reliability
SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month. Valued at over $1 billion, SmartAsset has earned recognition on the Inc. 5000 and Deloitte Technology Fast 500 lists.
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.
Lead the reference architecture for AI and agentic systems within key product domains.
Design and deliver production ready AI systems, ensuring reliability, scalability, observability, performance, and cost efficiency across the full lifecycle.
Establish platform level AI and data components, including Model broker and multi-model routing strategies.
PointClickCare is a leading health tech company that’s founder-led and privately held, they empower their employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, their platform serves over 30,000 provider organizations and they reinvest a significant percentage of their revenue back into research and development.
Build and operate production-grade agent systems: Design reliable agentic systems that behave predictably under real-world constraints.
Create shared foundations for agent delivery: Develop the core primitives that enable teams to build agents consistently.
They are rebuilding the energy transaction, making it transparent and fair. Tem exists to fix a broken global energy market and is scaling internationally. The company has closed a $75 million Series B and has facilitated thousands of business customers.
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.