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.
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.
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.
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.
Design, build, and ship LLM-powered features and agentic workflows for Gametime users.
Build and maintain evaluation frameworks and prompt testing pipelines for AI-powered experiences.
Contribute to orchestration layer, including agent routing, tool use, and multi-step workflow coordination.
Gametime helps people connect through shared live experiences. They operate platforms on iOS, Android, mobile web, and desktop, supporting over 60,000 events across the US and Canada, fostering a collaborative and inclusive environment where diverse perspectives are valued.
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.
Design, build, and deploy AI-powered solutions connecting Remote’s platform to customer systems and workflows.
Work at the frontier of practical AI, shipping reliable, observable, and secure systems in production.
Own customer outcomes from discovery through production rollout with high autonomy and direct influence on product roadmap.
Remote is a global HR platform that helps businesses recruit, pay, and manage international teams compliantly. The company fosters a future-focused, async culture with team members across 6 continents and emphasizes innovation, automation, and AI.
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, build, and maintain production-grade AI systems and customer-facing AI features.
Develop agentic workflows using LLMs, retrieval systems, tools, APIs, and backend services.
Design and implement retrieval-augmented generation (RAG) systems, including ingestion pipelines, embeddings, semantic retrieval, and context assembly.
Givzey is a fast-growing and innovative technology company serving the nonprofit sector, on a mission to unlock more generosity through AI-powered donor engagement. In just three years, Givzey’s platform has already helped organizations raise $10M+ through autonomous engagement.
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.
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.
Work cross-functionally to design and implement AI-powered features that integrate LLMs with Vanta's existing products and systems.
Instrument evaluations, guardrails, and monitoring to continually improve quality based on customer usage.
Mentor engineers and champion a collaborative, high-ownership engineering culture.
Vanta helps businesses earn and prove trust by automating security monitoring and compliance. The company has a kind and talented team, with offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney.
Write behavioral specs, architectural constraints, and feature requirements that agents implement against.
Build and maintain harness infrastructure including structural tests, linting rules, and CI gates.
Design validation systems where agents write the tests and you verify features work from the user's perspective.
Bolo.ai builds generative AI systems for the energy industry, making daily work faster, safer, and better for heavy industry workers. We have Fortune 500 contracts, production deployments, and growing enterprise demand, and we're scaling with a small, senior-leaning engineering team.
Identify and prototype high-leverage AI opportunities across engineering, GTM, and operations to improve revenue, efficiency, and quality.
Partner with functional owners to build internal workflow automations, prompt systems, and AI-enabled tools using approved platforms like Claude Code and Anthropic API.
Document and share prototypes through demos and showcases, setting the standard for responsible, visible AI building.
Chainguard delivers hardened, secure builds of open source software for enterprises. Backed by leading investors, it serves Fortune 500 clients including OpenAI and Snap, and fosters a values-driven remote culture focused on security and innovation.
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.
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.
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.
Talk to people, then build things, working directly with business and engineering teams to understand what's slowing them down.
Own the whole thing by prototyping, hardening, deploying, and monitoring internal tools that need to work reliably.
Write code other people can maintain building clean systems and establishing practical patterns for secure AI usage.
Promenade empowers local businesses with products and services that allow them to thrive online and offline. They build vertically-focused software catered to each industry, leveling the playing field between small businesses and large aggregators; backed by industry investors.
Design and develop data pipelines, scoring algorithms, and API infrastructure to power AI-driven matching and recommendation capabilities.
Build and maintain integrations between the matching engine and an existing program management platform.
Collaborate with SMEs to build, test, and refine user-configurable matching logic.
LMI is dedicated to accelerating government impact with innovation and speed, bringing commercial-grade platforms and mission-ready AI to federal agencies. Headquartered in Tysons, Virginia, they are committed to delivering impactful results that strengthen missions and drive lasting value.