Designing and building AI-powered features and tooling used by customers and internal teams.
Owning fullstack solutions that include frontend, backend, and AI components.
Establishing patterns, guardrails, and examples that other engineers can safely build on.
FlowFuse is a company that builds real product features and internal tooling that apply artificial intelligence to practical user and engineering problems. They foster a remote, async-first environment across multiple time zones where pragmatic use of AI tools is encouraged to accelerate development and improve outcomes.
Architect, build, and deploy LLM-powered applications that augment and automate key workflows.
Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale.
Develop AI-driven tools that create measurable business impact — improving efficiency, accelerating innovation, and driving revenue growth.
Sierra Studio connects talented Brazilian professionals with exciting career opportunities in a highly-vetted small community of growing companies in the US. They specialize in enabling merchants, consumers, and partners to operate with flexibility, intelligence, and trust with over 250 people.
Work with other engineers on a wide variety of AI engineering tasks to improve our existing applied AI systems
Identify new opportunities to apply emerging AI capabilities to different parts of the Poe product
Take end-to-end ownership of applied AI systems - from prototyping, data pipelines, model optimization/evaluation to reliable deployment at scale
Quora's mission is to grow the world's collective intelligence. They have two platforms: Quora, a global knowledge sharing platform, and Poe, a platform to chat, explore and build with AI language models. They have a culture rooted in transparency, idea-sharing, and experimentation.
Lead domain-specific model optimization using PEFT (LoRA/QLoRA) and knowledge distillation to balance cost, latency, and reasoning capability.
Build next-gen Retrieval-Augmented Generation pipelines using hybrid search, cross-encoders, and self-correcting retrieval loops.
Design and deploy multi-agent systems using frameworks like LangGraph or CrewAI, enabling autonomous task planning and tool-use (Function Calling).
ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Design agentic systems & ship AI to production: Turn prototypes into resilient, observable services with clear SLAs, rollback/fallback strategies, and cost/latency budgets.
Build tool‑using LLM “agents” (task planning, function/tool calling, multi‑step workflows, guardrails) for tasks like grant discovery, application drafting, and research assistance.
Own RAG end‑to-end: Ingest and normalize content, choose chunking/embedding strategies, implement hybrid retrieval, re‑ranking, citations, and grounding.
Instrumentl is a hyper-growth YC-backed startup that provides a SaaS platform to help nonprofits discover, track, and manage grants efficiently. They have over 4,000 nonprofit clients and are cash flow positive, doubling year-over-year, with customers who love them.
Design, optimize, and version prompts for production voice and chat LLM applications.
Architect and orchestrate multi-agent systems for complex conversations.
Build automated testing and validation frameworks for LLM outputs.
Tuotempo transforms healthcare experiences through intelligent digital solutions and is a trusted patient engagement platform powering some of Europe and Latin America's leading healthcare institutions. They have a remote-first culture with vibrant hubs in Bologna or Barcelona.
Build and maintain an internal LLM gateway that handles routing, fallbacks, and rate limiting
Create reusable components for common AI patterns (RAG, function calling, streaming responses)
Develop SDKs or libraries that simplify AI integration for application developers
ButterflyMX empowers people to open and manage doors & gates from a smartphone and their products are installed in multifamily, commercial, and gated communities. As a distributed workforce, they're looking for intelligent, collaborative, and down-to-earth individuals to join their growing team.
Partner with stakeholders to identify and prioritize opportunities for AI and automation.
Design, develop, and deploy AI and automation systems that drive measurable business impact.
Build and maintain scalable infrastructure, including front-end interfaces and back-end services.
Jobgether uses an AI-powered matching process. They ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Design, develop, and maintain backend systems in Python, integrating AI-driven functionalities and APIs
Implement prompt engineering, Retrieval-Augmented Generation (RAGs), and basic generative AI solutions into platform workflows
Collaborate on AI model deployment, fine-tuning, and production integration
Impiricus is the first and only AI-powered HCP Engagement Engine created to cut through the noise and put physician care delivery at the forefront. The company is committed to providing life science companies with AI technology needed to deliver evidence-based resources into the hands of HCPs.
Design, build, and release AI products/features that solve real user problems
Design and implement streaming/batch data pipelines to support training and inference
Continuously monitor and improve the quality and performance of the systems
Insider One is a platform that integrates marketing and customer engagement tools, enabling teams to maximize their impact. With over 1,500 employees across 30+ offices, Insider One values innovation, collaboration, and social responsibility, fostering a fast-paced and agile environment.
Design, build, and scale enterprise-grade AI/ML systems that power internal workflows and external-facing AI/ML platforms.
Develop a production-ready Generative AI and MLOps platform with reusable components used to deploy multiple AI solutions across Natera’s business units.
Implement cloud-native infrastructure for large-scale model training and serving using Kubernetes, MLflow, Terraform, and AWS-native services
Natera is a global leader in cell-free DNA (cfDNA) testing. They are dedicated to oncology, women’s health, and organ health, aiming to make personalized genetic testing and diagnostics part of the standard of care. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions.
Own complex, full-stack AI solutions end-to-end, from applied research to production deployment.
Set technical direction for ambiguous and high-impact use cases, while scaling the AI systems.
Mentor others, lead architectural decisions, and deepen Komodo’s AI-first culture.
Komodo Health is dedicated to reducing the global burden of disease by leveraging data. They have built the Healthcare Map, the industry’s largest view of the U.S. healthcare system. At Komodo, employees are ambitious, supportive, and passionate about delivering on its mission.
Drive Prompt’s mission to improve healthcare through modern technology including AI
Lead AI projects from ideation → architecture → production → iteration until tools are widely adopted and loved!
Design, build, and deploy end-to-end AI systems across both traditional ML and LLM-based workflows
Prompt delivers highly automated and modern B2B enterprise software to rehab therapy businesses, their teams, and most importantly the patients they serve. They’ve established themselves as the go-to platform in the space and are rapidly growing their market share by delivering software people love.
Design, build, and deploy AI Agents including custom tools, prompt engineering, orchestration workflows, and agent design patterns.
Contribute to the backend infrastructure powering Candidly's AI capabilities, including API development, data integrations, and data pipelines.
Work closely with stakeholders across product, design, engineering, and leadership to translate complex AI concepts into actionable strategies and features.
Candidly, founded in 2016, is the category leader with the market’s most comprehensive AI-driven student debt and savings optimization platform. They partner with hundreds of top employers, financial institutions, and retirement record keepers, positioning Candidly to serve more than 35 million Americans. Candidly is a high-growth, Series B startup, funded by leading investors with an international team of 70 (and counting).
Apply bleeding edge AI theory to the design and implementation of large-scale data systems that feed AI agents and autonomous workflows.
Use data science techniques to fine-tune, evaluate, and optimize LLMs for marketing-specific tasks.
Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive human tasks.
Rockerbox is building the next generation of marketing intelligence. They are looking for someone to help them build the AI systems everyone else just theorizes about.
Design and deliver AI-powered advisors, assistants, and analytic agents.
Build and maintain high-quality, production-ready Python services.
Apply, adapt, and fine-tune foundation models to deliver reliable AI experiences.
Energage helps organizations turn employee feedback into useful business intelligence and credible employer recognition through Top Workplaces. Built on culture research and the results from 23 million employees surveyed across more than 70,000 organizations, Energage delivers the most accurate competitive benchmark available.
Collaborate with cross-functional teams to improve scalable AI systems.
Research, evaluate, and integrate new AI technologies for payment systems.
Build and deploy AI solutions using Python, LLM libraries, AI services, and AWS.
DLocal enables companies to collect payments in 40 emerging market countries, helping global brands increase conversion rates and simplify payment expansion. They have 1000+ teammates from 30+ different nationalities and offer a flexible, remote-first dynamic culture.
Design and deliver scalable AI systems that connect models, data, and products.
Turn research prototypes into secure, reliable, production-ready services.
Build pipelines and serving layers that power adaptive, real-time features.
KnowBe4 is a cybersecurity company that puts security first, offering an AI-driven Human Risk Management platform. They empower over 70,000 organizations worldwide to strengthen their security culture and transform their workforce into their strongest security asset.
Define the technical vision and architecture for AI-powered developer tools.
Design and build the foundational platform that empowers product and platform teams.
Partner with product and engineering leadership to evaluate productization opportunities.
Docker makes app development easier, allowing developers to focus on their work. They are a remote-first team and the #1 tool for building, sharing, and running apps, trusted by startups and Fortune 100s alike.
Rollstack is revolutionizing how businesses share data and insights by fully automating the creation of slide decks and documents. They are a remote-friendly workplace backed by Insight Partners and Y Combinator, with a diverse team that values intelligence and kindness.