Architect, design, and develop proof-of-concepts and early-stage production systems leveraging LLMs, agentic workflows, vector databases, and emerging AI technologies.
Build integrations with platforms such as Microsoft Copilot, ChatGPT, and other leading models using APIs, SDKs, and custom toolchains.
Create advanced prompts, system instructions, tools, and agent architectures to elevate automation, reasoning, and decision-making across business processes.
Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. They have grown from start-up to industry leader by innovating, simplifying, and valuing people and are a subsidiary of PROG Holdings. Prog Tech embodies the modernity and transformational vision that is core to their business evolution.
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 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.
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 build robust backend services and microservices that power the DevX platform ecosystem.
Integrate Large Language Models (LLMs) and custom AI models to enable features like semantic code search, automated refactoring, and natural language infrastructure provisioning.
Act as a technical liaison and co-developer with our India-based engineering team, participating in daily stand-ups and code reviews to ensure architectural alignment.
They are developing the DevX platform, a next-generation engineering platform designed to accelerate time-to-market and improve code quality through intelligence. The company seems to be focused on developer tools and AI-driven solutions to enhance the software development lifecycle.
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 and build end-to-end LLM-powered workflows, including RAG pipelines, tool-calling systems, and agent architectures
Rapidly prototype internal AI assistants and automation tools across business functions
Develop shared connectors to major LLM providers and internal data sources
AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience. As they enter the next phase of rapid growth, they are seeking people to help lead the journey as a devoted and capable team.
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 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.
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.
Design and implement backend services for intelligent agent workflows.
Develop APIs and orchestration layers in Python and TypeScript.
Build scalable systems to support LLM-based reasoning across cloud infrastructure.
Jobgether is a platform that uses AI to match candidates with jobs. They ensure applications are reviewed quickly and fairly by identifying top-fitting candidates for companies.
Design and implementation of reliable, maintainable, and scalable GenAI systems.
Serve as a subject matter expert for machine learning systems owned by the team.
Mentor junior and mid level engineers through code reviews and design collaboration.
Trajector specializes in medical evidence services, guiding clients through disability benefits complexities. They are a global team of over 1,800 dedicated individuals, streamlining the path to benefits and ensuring access to rightful compensation for those with disabilities.
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 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.
Ship full-stack features end-to-end, owning the full lifecycle from conception to production with minimal oversight.
Build and maintain the infrastructure powering Fastino's services, keeping systems reliable and performant as we scale.
Work directly with AI researchers to bring new model capabilities into the product, moving fast without sacrificing quality.
Fastino is building the next generation of LLMs, developing specialized, efficient AI. The team, with alumni from Google Research, Apple, Stanford, and Cambridge, has raised $25M and is backed by leading investors including Microsoft and Github CEO Thomas Dohmke.
Architect and implement AI-powered capabilities: code generation, intelligent node creation, and workflow optimization
Integrate LLM APIs and embedding models for text-to-workflow and natural language code suggestions
Design and iterate on prompts to improve model output and user experience
N8n is an open workflow orchestration platform built for the new era of AI. They give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. The company has a diverse team of over 220 working across Europe and the US.
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.
Lead the architecture and evolution of Cresta’s AI Agent integration framework across CCaaS platforms.
Design scalable, extensible backend systems that manage real-time conversation state, session lifecycle, and context propagation.
Establish architectural patterns for AI-to-human handoff that ensure durability, reliability, and seamless customer experience.
Cresta aims to transform customer conversations into a competitive edge. They achieve this by leveraging AI and human intelligence to enhance contact centers, automate processes, and empower team members.
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.