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.
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.
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.
Define the long-term AI vision and technical direction for the product
Design and review architectures and system designs
Lead research and experimentation into new AI technologies
Solink provides businesses with tools to transform video security into real-time operational insights. They are a rapidly growing company with over 30,000 locations across 32+ countries and have been recognized by Deloitte’s Fast 50™ and Fast 500™ and as one of Ottawa’s Best Places to Work.
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.
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.
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.
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.
Advance GenAI Modeling with Knowledge Design and build novel approaches for knowledge-grounded LLMs, embeddings, and multimodal modeling.
Prototype & Experiment Rapidly Drive POC experimentation, from agentic workflows to novel GenAI-powered assistants.
Provide Technical Leadership Provide technical mentorship to team members.
At Atlassian, they’re motivated by a common goal: to unleash the potential of every team. Their software products help teams all over the planet, and their solutions are designed for all types of work.
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.
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, 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.
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 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.
Manage, mentor, hire and grow 8+ ML Engineers and Data Engineers across three distinct teams
Be a strong technical partner for engineers to guide ML system architecture, model deployment, and data platform design & execution
Ensure ML solutions are production-grade, scalable, observable, cost effective and maintainable
Apella is applying computer vision and machine learning to improve the standard of care in surgery. They build applications to enable surgeons, nurses, and hospital administrators to deliver the highest quality care; they are committed to equal employment opportunity.
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.
Build end-to-end training pipelines: data → training → eval → inference
Design new model architectures or adapt open-source frontier models
Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)
A1 is a self-funded AI group operating in full stealth, building a new global consumer AI application focused on an important but underexplored use case. They are assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.