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.
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.
Own the LLM + retrieval + context layer that makes copilots accurate and fast.
Design and ship the end-to-end pipeline, improving quality and trust via evaluation.
Reduce cost/latency with a concrete inference optimization plan shipped to production.
Ethos is built to make it faster and easier to get life insurance. They blend industry expertise, technology, and the human touch to find the right policy to protect loved ones and have been named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco.
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.
You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates.
You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights.
You can build tooling to support model training, evaluation, inference serving, monitoring and alerting.
Vanilla is an AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our team is distributed across the U.S., with a mix of fully remote and hybrid roles, and embraces flexibility while staying closely connected.
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.
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, implement, and evolve RAG pipelines combining structured data, embeddings, and LLMs.
Develop and maintain prompt strategies used across multi-step agent workflows.
Integrate LLMs into production systems with attention to reliability, cost, and latency.
FirmPilot builds AI-powered systems that automate and scale real-world business outcomes. They focus on applied AI, using best-in-class large language models and tooling to deliver reliable, production-grade automation.
Conduct cutting-edge machine learning research, building and training large language models.
Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc.
Disseminate your research results through the production of publications, datasets, and code.
Cohere is dedicated to scaling intelligence to serve humanity by training and deploying frontier models for developers and enterprises, building AI systems for content generation, semantic search, and more! They foster a culture of hard work, valuing diverse perspectives and contributions to model capabilities and customer value.
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.
Architect and implement state-of-the-art pipelines for ad creative generation.
Build editing capabilities allowing advertisers to smart-crop, inpaint, outpaint, resize, and style-transfer assets.
Adapt large vision-language models to understand "winning" ad aesthetics.
Reddit is a community of communities built on shared interests and open conversations. It is one of the internet’s largest sources of information with 100,000+ active communities and approximately 116 million daily active unique visitors.
Design and build LLM-powered features—from initial prototyping through production deployment
Architect and implement agentic AI systems, including tool use, multi-step reasoning, and orchestration patterns
Collaborate closely with Engineering, Product, Data, and Design to identify high-impact opportunities for AI integration
Practice Better is an all-in-one platform helping health and wellness practitioners run their businesses, care for their clients, and scale their impact. They are a remote-first team headquartered in Toronto, made up of curious, driven, and empathetic people building tools that help practitioners create sustainable, independent practices.
Development and deployment of LLM-powered features, including summarization tools.
Build backend services in Python that integrate ML/LLM models with Fullscript’s platform.
Collaborate with medical and product teams to deliver AI features for practitioners and patients.
Fullscript is a health technology company committed to helping people get better by connecting practitioners to products and patients to care plans. They empower over 125,000 practitioners and 10 million patients through their comprehensive platform.
Build scalable backend services and internal APIs for the AI platform.
Integrate LLMs and retrieval into reliable, production-ready workflows.
Build knowledge ingestion pipelines for LLMs (documents, APIs, semi-structured data).
MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. It powers operational excellence for 13,000+ businesses. They recently completed a $150 million Series D round, at a valuation of $2.5 billion.
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, develop, and optimize generative AI solutions, including prompt engineering and RAG implementations.
Implement agentic LLM architectures and multi-agent orchestration to generate reliable outputs.
Develop prompt libraries and evaluation frameworks to ensure accurate and secure AI-generated content.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, they deliver trusted, highly differentiated solutions and technologies to protect our nation and allies.
Design and implement AI-powered features end to end, including prompts, agents, tools, retrieval, evaluation, and feedback loops.
Build agent systems that interact safely with infrastructure, codebases, and deployment pipelines.
Integrate LLMs deeply into product workflows as core platform primitives.
SuperPlane is an AI-native DevOps control plane with a mission to build the platform teams use to ship and manage software in the AI era. They are a fast-moving company aiming high, rethinking DevOps from first principles for the AI era to create a single control layer for engineers and agents to collaborate safely.
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.
Develop and test new modeling approaches using deep learning architectures such as transformers, embeddings, and neural networks.
Build and refine frameworks that integrate into Tilt’s existing ML pipelines to improve credit modeling and loss prediction.
Work closely with data scientists, engineers, and product partners to translate complex ideas into practical solutions.
Tilt (formerly Empower) creates mobile-first products and machine learning-powered credit models to look beyond outdated credit scores. They are named among the next billion-dollar startups and are creating a new credit system that backs the working.
Drive Prompt’s mission to improve healthcare through modern technology including AI
Develop and deploy real-time AI systems involving speech and natural language understanding (e.g., transcription, summarization, classification)
Partner with Product and Engineering to identify high-leverage AI opportunities and deliver measurable outcomes
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.