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.
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.
Design and prototype AI-assisted development techniques like code generation and test automation.
Partner with product and platform teams to integrate AI workflows into existing systems.
Mentor engineers on effective use of AI tools and contribute to technical strategy.
Hims & Hers is a leading health and wellness platform that provides personalized care from diagnosis to treatment delivery. As a public company traded on NYSE, they foster a remote-first culture with a focus on innovation and employee well-being.
Lead the development of our patient-facing conversational agent
Implement scalable, low-latency systems for voice and multimodal conversations
Work with clinical experts to validate performance and medical accuracy
UpDoc is building the first clinically validated, physician-supervised AI agent that manages chronic diseases. It is an early-stage startup founded by Stanford physicians.
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.
Design and deliver scalable backend systems, APIs, and data solutions using C# .NET, Python, SQL, AWS, and Snowflake.
Develop AI-powered features with LLM technologies including RAG, semantic search, and function calling.
Optimize PostgreSQL databases and establish CI/CD practices for reliable deployment.
Jobgether uses AI-powered matching to review applications and share top-fitting candidates with hiring companies. The platform focuses on efficient, objective candidate evaluation.
Develop and maintain cloud infrastructure powering our Clinical AI platform.
Build scalable APIs, microservices, and implement CI/CD pipelines.
Integrate with EHR systems and ensure compliance with healthcare regulations.
We are building the first clinically validated, physician-supervised AI agent that manages chronic diseases. We are an early-stage startup founded by Stanford physicians.
Design and implement scalable, secure, and high-performance backend systems and APIs supporting AI-driven security and pentesting.
Collaborate with product, frontend, and infrastructure teams to define system architecture and translate requirements into robust technical solutions.
Optimize application performance, scalability, and security across distributed and cloud-native environments.
The company is a partner of Jobgether, specializing in AI-driven cybersecurity and vulnerability detection. It is a highly technical, fast-paced environment focused on solving complex scalability and security challenges at enterprise scale.
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, build, deploy, and maintain production LLM-based solutions and agent workflows.
Lead high-complexity, cross-functional AI initiatives from ambiguous problem definition through production adoption.
Partner with Cybersecurity and Compliance to design PHI-safe data handling patterns and ensure AI solutions align with relevant controls.
Included Health is a healthcare company delivering integrated virtual care and navigation, breaking down barriers to provide high-quality care for every person. They have a remote-first culture and are an Equal Opportunity Employer.
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 and build scalable backend services and APIs.
Develop integrations with healthcare and financial systems.
Build reliable, observable data ingestion and processing pipelines.
This healthcare AI startup builds products that help providers navigate reimbursement landscapes using machine learning and AI. It has assembled an exceptional technical team and is fast-growing.
Design, develop, and maintain scalable full-stack applications using Java, Spring Boot, Node.js/TypeScript, and React.
Architect and implement cloud-native microservices and RESTful APIs using AWS services like Aurora PostgreSQL, ECS, SQS, and S3.
Integrate AI solutions into enterprise healthcare applications and evaluate emerging AI technologies.
VetsEZ is a company that supports federal government projects, focusing on secure, scalable healthcare applications for modernization initiatives. They operate in a collaborative Agile environment with a range of professionals and emphasize modern technologies and AI integration.
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 maintain RESTful APIs and microservices using Python and cloud technologies on AWS.
Integrate third-party solutions like Pindrop and support contact center transformation initiatives including Amazon Connect.
Implement CI/CD pipelines, set up monitoring and observability, and contribute to infrastructure automation using CloudFormation and Terraform.
Miratech is a global IT services and consulting company that helps visionaries change the world by supporting digital transformation for large enterprises and startups. The company retains nearly 1,000 full-time professionals, operates in 25 countries, and has a culture of Relentless Performance with a 99% project success rate since 1989.
Enhance our AI SaaS solution and scale highly distributed systems using microservices and cloud design patterns.
Collaborate with engineering and product teams to design and implement new features for the HealthJoy platform.
Create scalable solutions to serve our growing user base while improving engineering practices.
HealthJoy is a healthcare benefits platform that uses a multi-agent LLM and recommendation system to guide members to the right care and savings. The company has raised over $100M, is recognized by Inc. and Built In, and has a global team focused on building technology that helps people use their benefits.
Design, develop, and maintain scalable backend applications using Python, and build RESTful APIs and backend services.
Collaborate on frontend development using React, and design cloud-native solutions leveraging AWS services.
Optimize application performance, reliability, and security, and participate in architecture discussions and Agile ceremonies.
AccelOne provides custom software development and design services for companies across the U.S. and Latin America, built on core principles of transparency, communication, and accountability. They deliver high-quality, scalable solutions for clients and have a collaborative, people-first culture that values innovation and technical excellence.
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.