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.
Work directly with insurance brokers, MGAs, and carriers to deploy AI-powered solutions for their workflows.
Use LLMs, embeddings, and structured data pipelines to build features like document review and quote comparison.
Rapidly prototype and productionize features based on customer feedback and real usage.
Outmarket is transforming the commercial insurance industry with AI by helping brokers, MGAs, and carriers unlock insights from their data and automate workflows. Their team brings experience from Meta, IBM, Adobe, and Uber and focuses on shipping quickly and building scalable solutions.
Work across the full stack from AI workflows to frontend product experiences.
Build features using LLMs, embeddings, and structured data pipelines to automate insurance workflows.
Collaborate with founders, engineers, and customers to rapidly prototype and ship AI-powered capabilities.
Outmarket builds AI-powered software for commercial insurance. They are an AI-first team focused on delivering practical solutions that solve meaningful customer problems.
Lead the design and development of production AI systems powering insurance workflow automation.
Architect AI orchestration layers connecting LLMs, backend services, and business workflows.
Own end-to-end AI system design including inference pipelines, routing, caching, and fallback strategies.
BJAK is Southeast Asia's largest digital insurance platform, building AI-powered products that simplify insurance and financial services for millions of users. They use AI and automation to transform real-world insurance workflows and foster a high-ownership culture with small, empowered teams.
Build and operate backend systems serving AI-powered insurance workflows in production.
Design and implement AI orchestration layers connecting models, APIs, workflows, and business logic.
Optimize latency, throughput, and cost across AI services using caching, batching, streaming, and routing.
Next Step Systems is an IT recruiting and staffing company that helps businesses hire technology professionals. They operate globally, connecting talent with opportunities in various tech roles.
Deliver white-glove AI enablement, consulting, and solution engineering across assigned business units, including tool setup, training, and workflow configuration.
Build bespoke AI workflows, agents, and full-stack lightweight internal tools tailored to each area’s specific needs.
Curate prompt libraries, skill repositories, and agent context, while designing role-specific AI training and coaching.
MRO provides AI enablement and workflow solutions in healthcare. They focus on internal tool prototyping and support cross-team collaboration to boost productivity, operating with a culture of hands-on delivery and thought leadership.
Architect and deploy scalable Generative AI and ML systems into production.
Integrate and optimize LLMs for business planning, including RAG and prompt engineering.
Build conversational interfaces and agentic workflows using Python and modern ML practices.
Anaplan provides an AI-infused scenario planning and analysis platform that optimizes business decision-making. With over 2,400 global customers including Fortune 50 companies, the company fosters a winning culture focused on innovation and diversity.
Design and build production-grade LLM-powered agents and workflows for enterprise-scale AI solutions.
Develop and optimize RAG pipelines, agent reasoning patterns, and evaluation frameworks to measure model quality.
Collaborate with Engineering, Product, and cross-functional teams to translate business requirements into impactful AI systems.
Smartsheet builds AI-powered strategic planning and work execution agents through SmartAssist, an intelligent agent platform. The company is a publicly traded, large enterprise with a collaborative, inclusive culture that values diverse perspectives and engineering rigor.
Build and operate backend systems that serve AI-powered insurance workflows in production.
Design and implement AI orchestration layers connecting models, APIs, workflows, and business logic.
Optimize latency, throughput, and cost across AI services through caching, batching, streaming, and routing.
BJAK is Southeast Asia's largest digital insurance platform, building AI-powered products that simplify insurance and financial services for millions of users. It operates with a global engineering team that values high ownership, technical excellence, and modern practices.
Provide technical leadership and mentorship to junior engineers on the Applied AI team.
Design and implement scalable architectures for LLM-based applications, including agents and vector databases.
Develop evaluation pipelines and prototype components to validate AI product concepts.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They prioritize fair and efficient recruitment, fostering an inclusive and diversity-driven workplace culture.
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.
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.
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.
Design, build, and maintain AI-powered features like LLM integrations and RAG pipelines.
Contribute to tooling for AI reliability, including observability and monitoring.
Prototype solutions quickly and work with peers to harden them for production.
Homeward creates financial products that remove uncertainty from homebuying. As a remote-first real estate startup with about 200 employees, we value the Golden Rule, One Team One Dream, and Calm Focus.
Build and evolve the agent harness and orchestration that turns an LLM into a reliable autonomous pentester.
Design tools and validation layers to keep the agent reliable, with structured outputs and production-safety.
Own and grow evaluation infrastructure to measure and drive agent improvements.
Horizon3.ai is a fast-growing remote cybersecurity company that provides autonomous penetration testing through its NodeZero platform. The company fosters a culture of respect, collaboration, and ownership, with a team of former cyber operators and engineers.
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.
Design, build, and deploy AI-powered product features leveraging LLMs to enhance user workflows.
Develop and maintain evaluation frameworks, guardrails, and monitoring systems for AI reliability.
Collaborate with cross-functional teams to integrate generative AI into backend services and APIs.
This company provides a modern SaaS platform that helps organizations strengthen security, compliance, and trust. They have a remote-first environment with a strong engineering culture focused on ownership and collaboration.
Lead development of core machine learning systems, fine-tuning LLMs and building NLP pipelines to extract data from insurance documents.
Architect training workflows using user feedback, and build intelligent agents for complex web interfaces.
Design evaluation pipelines and scalable systems for training, inference, and feedback in a fully remote role.
Total Performance Consulting provides AI, consulting, software development, and nearshore staffing services. The company operates with a small, fast-moving team and works on meaningful problems alongside its founders.
Own problems end-to-end: drive requirements with stakeholders, leverage AI to build, and verify outcomes.
Write production-quality code across Python, Django, AWS, React, and PostgreSQL.
Iterate until the metric moves, owning adoption, monitoring, and support.
Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We are a fully remote company backed by A-rated carriers, with a culture focused on autonomy, AI-driven development, and inclusive collaboration.