Design and build systems, manage scalable ML pipelines using Vertex AI Pipelines for training, evaluation and deployment to support ranking, retrieval, and recommendation personalization use cases
Develop and maintain data pipelines that support feature generation, model training, and analytics workflows. Own vector generation via Milvus, storage, and retrieval workflows
Implement model serving solutions using KServe and build APIs using FastAPI for low latency inference Build observability and monitoring for models and pipelines.
Design, build, and maintain scalable backend services and APIs that power Chattermill’s core analytics platform.
Architect reliable, maintainable distributed systems and contribute to the evolution of backend service design and infrastructure.
Own end-to-end delivery of backend engineering workstreams, from technical scoping and architecture through to implementation, testing, observability, and production support.
Chattermill helps large successful brands like Uber, Amazon, and Wise put their customers at the centre of everything they do. Using best-in-class tech in a fast-evolving AI space, their Customer Experience Intelligence platform continuously analyses feedback to help clients identify what to do next.
Design, build, and own backend systems that transform raw enterprise data into structured representations.
Develop and maintain scalable data processing pipelines, semantic storage layers, and versioning systems.
Own features end-to-end, from data modeling and backend logic to API design and integration layers.
Pragmatike is recruiting on behalf of a fast-growing, AI-first enterprise software company building a next-generation semantic intelligence layer for large-scale business data. They value transparency, ownership, and long-term impact.
Design and develop scalable AI-powered backend systems for SysML-based engineering environments
Build and maintain distributed data ingestion and ETL pipelines for large-scale engineering artifacts and technical documentation
Develop and optimize LLM-powered workflows for metadata extraction, semantic analysis, and entity resolution
Sigma Software builds scalable AI-driven systems. They are an innovative team leveraging AI, semantic graphs, and distributed processing to deliver impactful solutions.
Lead by example: contribute high-quality code across backend and frontend systems
Shape architecture: design scalable services, APIs, and data models that support long-term growth
Mentor engineers: coach and support teammates through code reviews, design discussions, and problem-solving
WorkBoard’s Strategy Execution Platform powers the digital operating rhythm for companies around the globe, providing organization-wide clarity, alignment, and insights for growth. More than 15,000 people are certified in WorkBoard’s OKR coaching and Outcome Mindset Methodology™ which enables their organizations to quickly gain the agility OKRs can provide.
Build and ship new features across Privacy.com 's product suite, working on both frontend and backend systems.
Use AI coding tools (Claude Code, Cursor, Copilot, etc.) effectively across the full development lifecycle and help establish patterns for the team.
Collaborate with product and design to translate requirements into technical solutions that prioritize customer experience.
Privacy.com is the virtual card platform giving consumers and small businesses complete control over their online payments. Their dedicated team of 35 sits at the heart of Lithic's 160+ person organization, spanning 26 states and 7 countries, headquartered in New York City.
Own and build core backend systems for highly scalable messaging infrastructure.
Design, ship, and maintain backend services handling billions of messages monthly.
Solve complex infrastructure problems across routing, messaging, delivery, and automation systems.
Textla is the first outbound operating system for SMS, allowing enterprise brands to leverage AI-first infrastructure to deliver communication campaigns at scale. They are an early-stage startup with meaningful traction, top-tier investors, and a small, fast-moving team that operates as a people-first company.
Collaborate with Product, Design, Frontend, Infrastructure, and Mobile engineers.
Be responsible for features from discovery to observability.
Design, build, and maintain efficient, scalable, and reliable Ruby/Elixir code.
Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry. They connect and power everything from salons and barbers to spas, medspas, fitness studios and health practices and they are trusted by millions of consumers and businesses worldwide.
Design end-to-end AI integration architectures connecting LLM APIs, vector databases, and inference systems to existing backend infrastructure.
Build reusable ML infrastructure components like feature pipelines, model serving layers, and evaluation frameworks that multiple portfolio companies standardize on.
Establish AI system integration best practices and governance patterns that become repeatable playbooks across the holding company.
Emergence is a thematic holding company backed by the Pritzker Organization focused exclusively on acquiring and scaling category-defining software businesses. They invest in focused portfolios, specialized operating groups with deep domain expertise and proven playbooks.
Own the full ML lifecycle, taking projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.
Translate business needs into ML solutions, gathering product requirements and translating them into robust ML system design requirements.
Build recommendation and ranking systems, architecting and launching ranking and recommendation infrastructure from scratch, initially via integrated off-the-shelf models, and evolving to targeted and customized solutions in the long term.
Affinity's Relationship Intelligence platform empowers dealmakers to find, manage, and close more deals. It has more than 3,000 customers worldwide and is backed by Silicon Valley firms, with $120M raised, also receiving Inc. and Fortune Best Workplaces awards.
Design and build various high-performance backend microservices.
Integrate data from our AI/Ml classification algorithm.
Collaborate with Product, Design, and Developers to create an amazing user experience.
WearLinq is a healthcare startup emerging from Stanford University, on a mission to democratize healthcare. Our integrated ecosystem of hardware, software, and services aims to bridge gaps between patients and healthcare providers. Our leadership team is primarily located in the San Francisco Bay Area and Singapore but our software team is in Poland working fully remote.
Develop and maintain software for our edge devices, server infrastructure, and web applications.
Build and improve the APIs connecting our system components (edge, server, web).
Design and improve the user interfaces that customers use in our web application.
Glacier is a Series A startup based in San Francisco tackling trash by building custom sorting robots and AI-powered business analytics that enable recyclers to superpower their plants. From major CPG companies to municipal recycling facilities, their clients trust them to turn recycling data into actionable insights.
Design, implement, and maintain backend services and APIs that support core product features.
Impiricus is an AI-powered HCP Engagement Engine created to transform how life sciences companies support physicians. They ethically connect HCPs to pharma resources, reduce go-to-market costs and accelerate patient access to the treatments they need. The company has over 200 employees.
Design, build, and maintain scalable services that support the AI lifecycle.
Develop tools for pre/post-processing data for AI and other usage.
Design scalable pipelines for data collection, processing, and transformation.
Planner 5D is a global hub for home design, uniting over 100+ million users. They simplify the home renovation process with their cutting-edge software, fostering a vibrant community of enthusiastic and product-oriented professionals.
Jobgether is a platform that uses AI to match candidates with jobs. They ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Design and develop enterprise-grade full-stack AI B2B SaaS web apps.
Work directly with users and prioritize their needs.
Take responsibility over significant portions of the product.
Clearly AI automates security and privacy reviews with AI. They help engineering teams ship faster by automating security and privacy reviews, and are a fast-growing YC startup with enterprise customers.
Design, implement, and maintain reliable, scalable, and secure infrastructure, applications, and tooling, with a focus on our ML/AI pipelines and workloads
Write clean, maintainable code, and perform peer code-reviews
Write clear and concise documentation and engage in cross-team communication and knowledge sharing
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. The company utilizes AI-based robotics and software to assemble AI infrastructure hardware products for hyperscalers and leading OEMs, employing under 500 employees, with a culture rooted in innovation and expertise.
Diagnose business problems before building solutions, mapping workflows and confirming AI is the right intervention.
Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation and iteration.
Improve organizational flow by building solutions that reduce bottlenecks and increase throughput, measuring success using flow metrics.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. GitLab has more than 50 million registered users and a high-performance culture driven by its values and continuous knowledge exchange.
Define, drive, design, and build/ship end-to-end solutions that solve real customer problems.
Contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research.
Drive architecture, design, and delivery of advanced ML systems in the Product R&D team.
Kinaxis is a global leader in modern supply chain orchestration. Known for its AI-infused platform and transparency across end-to-end supply chains, Kinaxis helps customers make faster, better decisions. The company has over 2000 employees worldwide and is recognized with Top Employer awards.
Design and build AI-powered features across Lumin's digital banking platform.
Integrate LLMs and AI APIs into production systems with robust prompt engineering.
Evaluate AI outputs critically, ensuring accuracy and compliance with regulations.
Lumin Digital is a trailblazer in digital banking solutions, driven by a unique approach to technology, service, and people. We empower credit unions and banks by creating cutting-edge digital experiences. At Lumin, we thrive on curiosity and innovation, with a culture fostering trust, respect and boldness.