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.
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.
Design multi-agent systems to automate business workflows.
Build and integrate AI agents using LLMs, APIs, and internal tools.
Continuously improve agent performance based on metrics and feedback.
Findies is a social shopping network helping women discover better products for their lifestyle. It's a small, hands-on team looking for professionals who want ownership and the opportunity to shape the business, operating in the e-commerce industry.
Design and implement complex AI agents and multi-agent workflows using frameworks like LangChain or LangGraph.
Build and maintain scalable, high-performance backend services using Python to support AI-driven features.
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to provide agents with accurate, context-aware information.
We are a Managed Nearshore Teams provider headquartered in Austin, specializing in building and embedding high-performing software development teams. Our model allows you to work on international challenges, collaborate with diverse teams, and grow your career while being part of a company that values expertise, creativity, and impact.
Design and build agentic AI systems and RAG pipelines for production features across the marketplace.
Integrate LLMs into product experiences across search, categorization, communication, and trust & safety.
Partner with Data Scientists and Engineers to turn research into shipped products.
OfferUp is dedicated to creating the simplest and most trusted way for people to buy, sell, and connect in their local communities. OfferUp used by more than 1 in 6 adults in the U.S. in 2024.
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, build, and deploy production AI agents and multi-agent orchestration systems.
Architect RAG pipelines with vector search and knowledge base management for AI-driven support.
Build production microservices and APIs serving as orchestration layers for AI agent systems.
Greenlight is a family fintech company helping parents raise financially smart kids. They serve over 6 million parents and kids with their banking app, aiming to ensure every child has the opportunity to become financially healthy and happy.
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.
Build AI-Powered Features: Design, develop, and deploy production-grade AI applications from concept to deployment.
Architect Scalable Systems: Create robust backend architectures that support AI workloads, ensuring low latency and high reliability.
Drive AI Innovation: Implement and optimize agentic AI systems, RAG pipelines, and multi-agent workflows using modern LLM frameworks.
Procurify is the AI-enhanced procurement and AP automation platform for mid-market organizations, making it easy for organizations to take control of spending and save money. It is a remote-first company with a big heart and a strong ambition to modernize how organizations manage business spend.
Build scalable, production-grade LLM services and agentic workflows, alongside traditional ML systems where appropriate.
Hiflylabs is a team of 250+ data and tech enthusiasts based in Budapest. They focus on data engineering, data science, artificial intelligence and application development, working on a wide range of projects around the world. Hiflylabs values its people and is committed to nurturing their personal and professional development through a mentoring system.
Integrate AI into real products and business processes
Contribute to AI-Driven Development practices across projects
They are looking for an AI Developer who doesn’t enjoy doing the same work twice, building AI-powered features and agentic workflows integrating AI into real products and business processes. The company values flexibility and adaptability.
Contribute to the design and evolution of agentic systems that participate directly in care delivery.
Define and build architectural patterns for agent reasoning, tool use, memory, and human-in-the-loop collaboration.
Own complex problem spaces end-to-end — from system design and implementation through observability, evaluation, and continuous improvement in production.
Pair Team is building a new kind of healthcare system across Medicaid, Medicare, and public assistance programs. As a public benefit corporation and AI-enabled medical group, they partner with shelters, food pantries, and community organizations to deliver “whole-person” care to the 115 million Americans who rely on the safety net, employing over 500 people while expanding nationally.
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.
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.
Own technical direction for high-impact AI products and work across teams to turn big ideas into shipped systems.
Help raise the bar for how they build, evaluate, and operate AI in production.
Rula strives to create a world where mental health is no longer stigmatized and provides quality, evidence-based care. They are a remote-first company that is dedicated to treating the whole person, not just the symptoms, and making a positive impact in the field of mental healthcare.
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.
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 develop an AI-powered productivity analytics platform.
Build scalable LLM pipelines and create a meta-workflow system.
Develop system-level prompt engineering and build an evaluation framework for AI output quality control.
Appflame is a Ukrainian product-driven tech company committed to building world-class products. They have 500+ team members and offices in Kyiv, London, Limassol, and a co-working hub in Warsaw; they value bold, driven people who are passionate about building real products.
Design, implement, and evaluate machine learning models and AI algorithms.
Develop and optimize prompts for LLMs to improve model outputs.
Collaborate with software engineers, data scientists, and product teams.
Cadre AI is focused on building and optimizing AI-powered platforms, bringing together cutting-edge technologies and expertise in machine learning and large language models. The team is dedicated to advancing AI capabilities and applying them to real-world challenges through scalable, high-impact solutions.
Contribute to the development of software infrastructure to support the creation of agentic systems.
Deploy and operate cloud-hosted services for use by the research community.
Define key directions to keep UChicago at the forefront of AI/ML and national data infrastructure.
The University of Chicago delivers solutions to the research community worldwide through Globus, a sustainable, non-profit unit. They develop cloud-based software for governmental, academic, and commercial organizations, emphasizing data management challenges, and house employees in downtown Chicago and remotely.