Build AI-based workflows that combine and interpret data from multiple extraction channels to produce reliable answers.
Analyze production data to find and fix accuracy gaps on real customer problems.
Completely own your features end-to-end, from product requirements to maintenance.
Collectly is a fast-growing healthcare technology company that applies AI to automate revenue cycle management for healthcare organizations. They are a remote-first company with team members in the United States and Europe.
Build machine learning and generative AI platforms used across the company.
Create backend infrastructure for scalable, resilient, and high-performance solutions.
Deploy and manage applications in production, coding daily with Python and modern frameworks.
Lyra Health provides evidence-based mental health care, serving over 20 million people globally. The company employs a large workforce and emphasizes a collaborative, mission-driven culture focused on social impact and clinical excellence.
Lead end-to-end development of advanced AI solutions including agentic systems, RAG pipelines, and multi-agent workflows.
Architect AI infrastructure with guardrails, access controls, and compliance protocols for ethical deployment.
Guide multi-disciplinary teams, setting technical playbook and best practices.
Nava is a consultancy and public benefit corporation that makes government services simple and effective. Since 2015, federal, state, and local agencies have trusted Nava to solve technology modernization challenges, and they maintain a collaborative, remote-friendly team environment.
Build product surfaces across web, desktop, and mobile for Hermes Agent and Nous Portal.
Develop backend services and APIs that hold up under real usage.
Maintain the cloud platform and infrastructure behind products and model serving.
Nous Research builds AI infrastructure including Hermes Agent and Nous Portal. The team is small, fast-moving, and values generalist engineers with strong ownership and low ego.
Partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform.
Own the journey from initial exploration to production deployment, translating ambiguous goals into reliable services.
Work across product, software development, performance engineering, and customer-facing implementations.
Baseten powers mission-critical inference for dynamic AI companies like Cursor and Notion. They are rapidly growing, recently raised a $1.5B Series F, and foster a collaborative, forward-thinking culture.
Build production-ready AI-powered products integrating LLMs, RAG, and agentic workflows into real-world financial processes.
Develop scalable event-driven microservices and APIs with Node.js, TypeScript, and modern React frontends.
Architect cloud-native systems on AWS and implement monitoring, evaluation, and observability for production AI systems.
Aveni is redefining how financial institutions use AI by building production-ready agentic systems that replace fragmented processes. Backed by investors including Puma Private Equity, the company completed one of Scotland's largest Series A rounds and is scaling its team to meet growing demand.
Design and build sandboxed evaluation environments for AI models to safely execute code and interact with tools.
Build backend services and infrastructure supporting large-scale AI and agentic evaluations.
Develop agent scaffolding, evaluation harnesses, and systems for provisioning isolated environments using Docker, Kubernetes, and cloud infrastructure.
10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. The company focuses on adversarial red teaming and model evaluations to help teams deploy AI systems safely.
Drive backend development for AI workflows using Python and FastAPI as part of a collaborative team.
Productionize LLM integrations with systems for Bedrock usage, quotas, retries, and cost controls.
Build for scale by optimizing async job orchestration, performance, and data-layer for petabyte-scale enterprise data.
Smarsh empowers organizations to manage risk and uncover intelligence in digital communications. With over 6500 clients in regulated industries and consistent recognition from Gartner and Forrester, Smarsh has been listed on the Inc. 5000 as one of America's fastest-growing companies since 2008.
Design and build reusable platform capabilities for LLM applications, AI agents, RAG, and tool calling.
Develop scalable data pipelines and secure integrations connecting AI applications to enterprise systems.
Establish technical standards for AI deployment, observability, evaluation, and lifecycle management.
Jobgether uses AI-powered matching to connect candidates with roles. They operate as a global, fully distributed international team with colleagues across multiple countries, offering a collaborative and inclusive environment.
Develop and evaluate AI training data for LLM and AI agent platforms.
Create coding tasks and write reference-quality solutions for evaluation.
Critically assess AI-generated code for correctness, security, and maintainability.
Toloka is a leading expert human data platform for AI agents and LLMs, providing high-quality training data. The company focuses on improving AI models through human feedback and structured evaluation.
Own the design and implementation of Benepass's internal AI platform from 0 to 1.
Accelerate the engineering SDLC with AI-assisted coding, CI/CD integration, and quality automation.
Build agentic workflows and knowledge systems that scale across the company.
Benepass is a fintech platform that makes employee benefits easy, allowing companies to customize perks for their workforce. We're a fast-growing startup backed by major investors with $75M raised and named one of Inc.'s Best Workplaces.
Embed with clients to discover needs and build production systems end-to-end.
Design and integrate APIs against legacy financial platforms.
Harden prototypes into production-ready systems for regulated institutions.
Praxent builds software for financial services companies, including banks, credit unions, lenders, insurers, and wealth platforms. They have been in business for over 20 years with a delivery team spread across the US and Latin America, and are known for a strong company culture.
Build best-in-class AI features end to end, including RAG pipelines, agentic workflows, and LLM apps on AWS Bedrock, shipping them to production fast.
Design and ship async Python services (FastAPI, SQLAlchemy 2 async) that stream live job progress to users over WebSocket/SSE and own features in the React/TypeScript portal.
Take real ownership from day one across backend, frontend, cloud, and applied AI, with mentorship from experienced engineers and a fast-moving fully remote team.
Veeva Systems is a mission-driven cloud software leader for the life sciences industry, helping pharmaceutical and biotech companies bring therapies to patients faster. As one of the fastest-growing SaaS companies with over $3B in revenue, it became a public benefit corporation in 2021 and supports a flexible work-anywhere culture.
Develop, ship, and maintain secure, well-tested, and performant Flow Registry features across the Duo Workflow Service and the GitLab monolith backend.
Collaborate with Product Management, UX, and engineering specialists to refine requirements and deliver iterative product improvements.
Design and implement GraphQL and REST APIs, related backend logic, and improve automated testing to strengthen quality and reliability.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and accelerate digital transformation. With over 50 million registered users and more than 50% of the Fortune 100 trusting the platform, GitLab fosters a high-performance culture driven by values and continuous knowledge exchange.
Design, build, and operate high-load distributed backend services powering the company's ML infrastructure.
Take end-to-end ownership of core ML services and data pipelines from design to deployment and continuous improvement.
Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities.
Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find products and enables brands to drive revenue. The company is fully remote, diverse, and values ownership and collaboration.
Own Delivery End-to-End: Take ownership of features from design through to production.
Shape AI Agentic Systems: Build intelligent workflows using LLMs and agentic architectures.
We build production-ready AI agentic systems that reshape how financial institutions operate. We are a rapidly growing FinTech backed by major investors, recognized as Fintech of the Year for two consecutive years, with a team of experienced engineers and PhD-level AI specialists.
Build asynchronous Python/TypeScript services with FastAPI, Pydantic, and asyncio.
Develop agent orchestration, subagent delegation, tool calling, and structured outputs.
Create behavioral evals and regression datasets using Langfuse.
We are a venture-backed defense-tech company building AI-native intelligent software for sovereign institutions and their affiliated organizations. We have offices across the U.S., Europe, and the Middle East, and we are expanding our engineering team with people who demonstrate strong ownership and sound judgment.
Design and develop scalable backend services (Python, FastAPI) powering the AI platform.
Build and optimize RAG pipelines, AI agent systems, and orchestration of LLM models in production.
Manage cloud infrastructure (AWS/Azure) including multi-tenant isolation and serverless functions.
A dynamic startup building a modern B2B AI platform powered by autonomous agents. The company focuses on eliminating tedious analytics for enterprise teams through flexible architecture and advanced workflows.
Build applied AI applications using existing LLMs to achieve high accuracy rates.
Take ownership of constructing services to ingest structured results.
Collaborate with product and engineering teams to build models that extract key information.
Vanilla is the first AI-powered estate advisory platform that unifies scenario modeling, client visualization, and document creation. The team is distributed across the U.S. with a mix of remote and hybrid roles, fostering a culture of speed, autonomy, and impact.