Design and scale LLM-based systems processing billions of unstructured data points daily for insurers.
Own end-to-end outcomes, set technical direction, and solve cutting-edge challenges under ambiguity.
Work in a small team where individual contributions have outsized impact on technology and business.
Kalepa is building professional-grade AI systems for the insurance industry, augmenting professionals and automating decision-making across workflows. Backed by IA Ventures and Inspired Capital, the team brings experience from Facebook, Palantir, Google, and other top companies, with a culture of hustle, meritocracy, and transparency.
Design and build scalable backend systems for Midnite's internal back office platform.
Lead and mentor a small team of engineers while remaining hands-on in delivery.
Productionise and deploy AI-powered tools for engineering and business use cases.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. We are a high-performance team of over 400,000 players operating at pace, with high ownership and constant iteration.
Build production-grade AI systems that enhance organizational intelligence and operational efficiency.
Collaborate with cross-functional teams to turn ambiguous AI opportunities into safe, measurable product capabilities.
Design and maintain scalable backend services, data pipelines, and human-in-the-loop workflows.
Honor Technology changes how society cares for older adults by providing technology, tools, and services for in-home care. With a global franchise network and over 100,000 Care Pros, Honor delivers 50 million hours of personalized care annually, fostering a culture of compassion and innovation.
Partner with enterprise clients to understand challenges and design robust technical solutions, from APIs to AI workflows.
Own production deployments ensuring reliability, observability, and continuous improvement of delivered systems.
Build AI-enabled systems using LLMs and agentic workflows while collaborating across Product, Engineering, and Sales teams.
Our partner is a company focused on deploying AI and enterprise integrations at scale. They operate in a remote-first, high-trust environment with a focus on practical AI deployment.
Design, build, and deploy AI/ML solutions focused on large language models using Python and AWS.
Architect scalable APIs and microservices with FastAPI and integrate LangChain for advanced model interactions.
Collaborate with cross-functional teams to apply math, statistics, or physics knowledge to improve model performance and reliability.
Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems by combining human expertise with machine learning workflows. Backed by over $40 million in funding and a expanding global network, they build critical human intelligence infrastructure for the AI economy.
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.
Ship AI to production by building tool-using LLM agents for grant discovery and drafting, with robust evaluation and observability.
Build trustworthy backends with high-quality, tested code, data pipelines, and reliability practices like alerts and incident response.
Collaborate with Product, Design, and GTM to scope features, run experiments, and raise engineering standards through clear code and reviews.
Instrumentl is a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. More than 5,500 nonprofits use Instrumentl to discover, track, and win grant funding, and the company has grown over 40% year over year.
Design, develop, and deploy production-grade AI-powered backend systems integrating LLMs and traditional ML models.
Integrate and optimize vector databases for RAG pipelines, and write clean, well-structured Python code.
Debug complex cross-layer issues and collaborate with product and engineering teams to deliver cohesive solutions.
We are a fast-growing product company integrating cutting-edge AI capabilities into our core offering to deliver exceptional value to customers. Our small, fast-moving team works on practical, real-world AI applications with high autonomy.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate large language models and machine learning models into scalable architectures.
Optimize system performance and implement strong testing practices.
Our partner company is building advanced AI-powered systems to create meaningful customer value. The team operates in a high-autonomy, fast-moving environment focused on production-ready AI solutions.
Design and build a next-generation reliability platform for Affirm's production systems, blending distributed systems engineering with AI-assisted development.
Create AI agents and a centralized command center to assist with incident triage, root-cause analysis, and unified system health visualization.
Own projects end-to-end, from requirements to rollout, collaborating with partner teams to build powerful, simple solutions for developers.
Affirm is reinventing credit to make it more honest and friendly, offering consumers the flexibility to buy now and pay later without hidden fees. The company is a remote-first organization with a strong focus on people-first values and inclusive benefits.
Own end-to-end delivery of core data platform components including schema mapping, normalization, and validation pipelines.
Drive technical architecture for an AI-native data warehouse serving institutional financial clients.
Build AI evaluation infrastructure to ensure trustworthy outputs in high-stakes financial data contexts.
Juniper Square is a private market operations platform that unifies technology, data, and fund administration services for over 2,300 GPs. With 1,000+ employees and $350M+ in funding, the company has a founder-led culture focused on ambitious, meaningful work and diverse perspectives.
Architect and evolve scalable backend systems using Python and modern technologies.
Build distributed, data-intensive systems with high performance and operational excellence.
Collaborate with product, data, and machine learning teams to integrate AI/ML capabilities.
This partner company builds large-scale, data-intensive systems for next-generation digital experiences. It fosters a collaborative, remote-first culture focused on innovation, performance, and long-term impact.
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.
Design, build, and maintain production-grade AI systems and APIs that power our products.
Integrate and fine-tune models (LLMs, embeddings, or other ML architectures) for customer-facing and internal use cases.
Own the full lifecycle of AI features — from research and prototyping to productionization, deployment, and monitoring.
Tiny Health is advancing lifelong health through precision microbiome science, founded in 2020 by microbiome scientists and physicians. They are a small, remote-first startup with a high-performing team focused on experimentation and transparency.
Lead the design, development, and deployment of enterprise-scale AI and data solutions using AWS and Snowflake.
Architect and implement large language models and agentic AI workflows for business automation and decision support.
Collaborate with cross-functional teams to ensure solutions meet regulatory, security, and compliance requirements in financial services.
U.S. Financial Technology operates the largest and most advanced mortgage securitization platform globally, supporting the Uniform Mortgage-Backed Security of Fannie Mae and Freddie Mac. The company supports 70% of the mortgage-backed securities market and offers a full lifecycle of services with a focus on cloud-based technology and innovation.
Design and develop scalable backend services and APIs for the Customer Data Platform and AI ecosystem.
Build secure, high-performance service layers on top of PostgreSQL, Snowflake, and other enterprise data platforms.
Partner with Data Engineering and ML Ops teams to support model serving, data products, and operational data systems.
National Debt Relief is a leading debt settlement organization that helps consumers overcome overwhelming debt. They have helped over 450,000 people settle over $10 billion of debt and foster a team-oriented environment with growth opportunities and employee mentorship programs.
Develop and integrate AI-powered systems to support EdReports' curriculum review process, including data pipelines, retrieval systems, and prompt workflows.
Build internal tools and interfaces for users to interact with AI outputs, ensuring accessibility and security.
Collaborate with product managers and subject matter experts to translate user needs into scalable technical solutions.
EdReports.org is a nonprofit that publishes free, online, evidence-rich reviews of instructional materials to improve curriculum quality. They have a remote-first culture and are committed to diversity, equity, and inclusion.