Build internal tools and coach-facing features on top of LLMs to turn unstructured conversational data into structured signals.
Design and maintain prompt chains, RAG pipelines, and agent workflows, rapidly prototyping from idea to demo in days.
Wire AI into existing systems, own full stack, and sit with coaches to build for their reality.
We deliver highly personalised diet and lifestyle coaching at scale through WhatsApp and our own technology platform. We partner with leading health insurers and employers, and our culture is about using AI to remove administrative work and enhance the personal coach-member relationship.
Build internal tools and coach-facing features on top of LLMs like Claude and OpenAI.
Turn unstructured conversational data into structured, reliable signals for daily prioritisation.
Own the full stack of what you ship: frontend, backend, model integration, and deployment.
Best10 delivers online, highly personalised diet and lifestyle coaching through WhatsApp and its own platform, working with medical insurers to reduce costs from high-risk members. The company fosters a builder culture where teams ship working AI solutions rapidly and take pride in systems that outlast them.
Build AI-powered product features integrated into real insurance workflows.
Design and optimize LLM-based interactions for customer and internal systems.
Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.
BJAK is Southeast Asia's largest digital insurance platform, using AI to simplify insurance and financial services for millions of users. The company values technical excellence, speed of execution, and practical decision-making, with a global engineering team that works closely across product, design, and AI teams.
Build customer-facing AI features across the full stack, from LLM-backed flows to polished, accessible UIs.
Ensure AI quality through evaluations, guardrails, and monitoring, designing systems that degrade gracefully.
Own outcomes end-to-end, from problem definition through production and customer signal analysis.
Help Scout builds software for relationship businesses that earn loyalty through outstanding customer service. With over 10,000 companies using their platform, the 120+ person team is fully remote and values ownership, curiosity, and high-quality craft.
Design and build AI-enabled features for education products, working with stakeholders to understand real workflows.
Integrate LLM APIs and develop evaluation approaches for quality, consistency, and reliability.
Build prototypes quickly, test against real use cases, and productionize successful approaches.
We are a global EdTech company building a suite of AI-enabled products for students, teachers, and education partners to support better learning outcomes at scale. Our team fosters a culture of experimentation and disciplined engineering.
Architect and ship production-grade agentic AI applications including multi-agent orchestration, retrieval systems, and evaluation pipelines.
Design and build learner-facing AI experiences and operator tools end-to-end using React and TypeScript.
Own production reliability for AI systems including model failover, rate limiting, cost monitoring, and incident response.
Chegg Skills builds applications that help motivated career switchers transition into high-growth roles. The company serves thousands of learners and educators each year through a high-ownership engineering team rethinking modern education.
Build and ship features across the Champion platform, improving developer experience and maintaining agent infrastructure.
Support Applied AI engineers in building, deploying, and operating Champions, reviewing agent implementations and contributing to engineering guides.
Design and build Champion agents for business-unit use cases, including writing system prompts and configuring deployment setups.
Redzone is the #1 Connected Workforce Solution for manufacturers, improving plant efficiency and empowering front-line workers. The company combines strong leadership, manufacturing expertise, and an incredible technology team to create great products and customer outcomes.
Build agent harnesses in Python using LangChain and LangGraph, including tool-calling and structured outputs.
Develop evaluation frameworks with golden datasets, LLM-as-judge, and regression suites, wiring them into CI.
Collaborate with data engineers on Snowflake-backed retrieval patterns like Cortex Analyst and Search Services.
Kobie is a loyalty solutions partner that helps brands build emotional connections with their consumers. Named a Top Workplace in the USA, they offer a flexible remote culture with a focus on collaboration and growth.
Build AI-powered workflows, assistants, agents, and automation systems across customer support, CRM, and finance operations.
Work with product and engineering teams to turn manual processes into scalable AI-native systems using LLMs, APIs, and internal data.
Prototype quickly, test with users, then productionize what works, ensuring evaluation, monitoring, and reliability.
Bjak believes people deserve smarter ways to plan, save and grow their money, starting with the first mobile-first insurance platform in Southeast Asia. They have teams worldwide with over 20 nationalities working from offices and remotely, seeking talented and driven people.
Design, build, and ship production-grade AI agent features (PM Agent, Execution Agent, External Onboarding Agent) that automate real implementation work.
Lead design partner engagements to develop custom agent workflows, iterating based on customer feedback to productize reusable components.
Contribute to the MCP server and platform layer, ensuring reliable retrieval, evals, and tool integrations across the full AI stack.
TaskRay is the leader in post-sale work management in the Salesforce ecosystem, helping companies ensure flawless customer experiences post-sale. The company has a culture centered on Connection, Integrity, Hunger, and Thrive, with a small team that values high performance and innovation.
Work closely with clients to understand their AI goals, present sustainable solutions, and adjust strategies based on feedback.
Guide and mentor engineering teams with AI expertise, setting technical standards and conducting code reviews.
Design and integrate APIs, data pipelines, and infrastructure to enable seamless communication and scalable AI implementations.
Livefront helps companies design and build digital products, working with clients like CVS, Samsung, and General Mills. They are a collaborative team that values respect, mutual trust, and egoless collaboration.
Build repeatable systems for creating AI-powered digital products using existing platforms and APIs.
Integrate AI capabilities with the tech stack and create end-to-end flows from product creation to payment processing.
Deploy successful products across an affiliate network and iterate based on conversion performance.
SnappyCX builds AI-powered digital products and systems. They are a hands-on, practical team focused on shipping working solutions and repeatable systems, with a culture of rapid implementation.
Build and ship AI agents, APIs, and applications on Affirm's internal platform, owning the full lifecycle from architecture to production.
Turn messy business requirements from People Operations stakeholders into production systems, integrating with tools like Workday and Notion.
Design reliability infrastructure for multi-model LLM services, including structured output validation and quality controls.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The People Tech & Analytics team builds and owns the data, AI, and technology infrastructure for Affirm's People function, running like a product engineering group embedded in HR.
Design and ship agentic workflows that plan, act, and re-plan in a loop, and build retrieval-augmented generation (RAG) pipelines that ground AI in real data.
Select the right model for each task, engineer prompts and context structures, and write evaluations to prove AI system correctness.
Connect AI tools to internal systems via APIs or MCP, review AI-generated code for correctness and security, and collaborate with the team to deliver complete solutions.
Vosyn is a trailblazing Language Synthesis AI firm that dissolves language barriers and empowers users through innovative AI solutions. Currently preparing for a significant IPO, the company fosters a culture of flexibility, continuous improvement, and solution-focused strategies where every idea is welcomed and nurtured.
Design and build evaluation systems to measure correctness, safety, latency, and regression risk for an AI copilot in a trading platform.
Develop automated quality gates, benchmark suites, and incident response for AI model reliability.
Partner with engineering and product to define safe tool/action contracts and drive model improvement loops.
Clear Street is modernizing the brokerage ecosystem by building a cloud-native clearing and custody system for capital markets. Founded in 2018, the firm supports billions in daily trading volume and fosters a collaborative culture with diverse, high-performance teams.
Lead the development of Lumin's AI roadmap spanning Generative AI, agentic AI, and machine learning, and build a high-performing team of engineers and data scientists.
Architect scalable data pipelines and AI capabilities, ensuring performance, reliability, and compliance with regulatory and security requirements.
Partner closely with product and engineering leadership to integrate cutting-edge AI solutions across all product areas.
Lumin Digital is a digital banking platform provider for credit unions and community banks. As a 100% cloud-native company, they foster a culture of curiosity, innovation, and trust with a team of professionals dedicated to continuous improvement.
Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
Own architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
Manage evals and observability for production AI, ensuring system accuracy and detecting regressions.
Maxwell is a mortgage technology and fulfillment company on a mission to make lending simpler, faster, and more accessible. It is a remote-first team that takes craft seriously and moves with intention, building a cutting-edge AI company in mortgage technology.
Design, build, and operate core GenAI platform components including LLM routing, vector search, and agentic workflows.
Own production-quality delivery and improve reliability through observability and incident response.
Partner with product teams and build internal SDKs, guardrails, and templates to enable AI feature development.
Pleo builds spend management solutions that make managing money seamless for businesses. They are a team of 850+ people from over 100 nationalities, with a driven, progressive, and kind culture.
Design and implement multi-agent state machines using LangGraph and LangChain for autonomous decision-making.
Build production-grade RAG pipelines on AWS with dual-engine vector search and serverless ingestion.
Architect secure multi-tenant AI systems with RBAC, PII redaction, and HITL guardrails.
Novara provides safety and operational risk management software that empowers organizations to identify and resolve issues before they become incidents. As a Providence Equity portfolio company, we are a dedicated team fostering innovation and collaboration in a remote-first environment.