Design, build, and own core components of the agent platform, from the orchestration layer to the tool integrations connecting it to internal systems.
Build and evolve the capabilities layer: APIs, data access patterns, and service integrations for agents to execute operational workflows.
Architect the knowledge and memory infrastructure, allowing agents to retrieve the data and act across our systems.
Justworks helps businesses get off the ground by enabling them to focus on running their business and solves HR issues. The company embraces a supportive, entrepreneurial environment where employees are encouraged to build something meaningful and have fun.
Translate product vision into production-ready code, working closely with Product Managers to turn business goals into actionable plans.
Help drive the transition to a self-service model, ensuring infrastructure remains performant across new global regions as the team and technology scales.
Take end-to-end ownership of service health, including participating in design docs and implementing robust monitoring/alerting.
Addepar is a global data and AI platform that empowers investment professionals to turn complex financial information into actionable intelligence. More than 1,400 firms manage and advise on nearly $9 trillion in assets, and we strive to promote a welcoming environment, and inclusion and belonging are held as a shared responsibility.
Design and ship agentic systems and multi-step LLM workflows using Claude, OpenAI, or equivalent - including tool use, memory, structured output extraction, and failure handling.
Build and maintain MCP integrations connecting internal tools, portco systems, and external data sources into reliable, observable pipelines.
Write production-grade Python for data pipelines, integration scripts, and scheduled jobs running via BullMQ-backed queues on the Node/TypeScript stack.
Emergence is a PE holdco backed by the Pritzker Organization focused on acquiring and scaling B2B SaaS businesses. It combines operational rigor with a growth equity mindset to drive ARR growth and profitability across its portfolio.
Own the technical delivery of mission critical, event based payment systems handling millions of daily transactions; responsible for the expansion of architectural decisions.
Define “what good looks like” by establishing modern standards of AI-enabled workflows, metric driven stewardship required for global scale payments systems reliability.
Shape engineering and product strategy jointly, as a bridge between cross functions, co-author of technical roadmaps, guardian of technical backlogs and a driving force behind engineering standards.
Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD).
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.
Design and build AI systems in production that solve real business problems, end-to-end: from discovery to operation.
Work with product and operations to translate ambiguous problems into measurable and maintainable solutions.
Build data pipelines that feed models and product surfaces.
Skydropx is innovating logistics with a team of visionary people who want to grow and change the world. They are integrating AI into their logistics platform for LATAM, working at a multi-tenant scale with hundreds of thousands of shipments per month.
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.
People Inc. is America’s largest digital and print publisher. Our 40+ iconic and fast-growing brands harness the best intent-driven content, the fastest sites, and the fewest ads to help nearly 200 million people every month.
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.
Define and evolve the architecture and roadmap for enterprise‑scale Data and AI platforms.
Design and build multi‑tenant, multi‑region, highly available AI platforms with governance.
Lead capacity planning and cost optimization strategies for GPU and CPU workloads.
NEORIS accelerates growth in Ibero‑America, combining global engineering with regional expertise. With over 60,000 professionals across 55+ countries, they offer technical specialization career paths and value responsibility, collaboration, creativity, and commitment.
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.
Shaping the Python language ecosystem with a strong product and platform mindset.
Architecting, building and delivering high-impact solutions that uplift the Python developer experience.
Advocating for Python engineering best practices across the organization.
Canva is a design platform that empowers users to create professional-quality graphics. They offer an inclusive culture with employees across multiple locations.
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.
Maintain, improve, and extend an AI platform already running in production.
Handle a mix of backend development, data pipelines, DevOps, and infrastructure work.
Translate business and product requirements into technical decisions independently.
Provectus is an AI consultancy and solutions provider. We help businesses adopt AI technologies, offering development and integration services. While the job posting doesn't mention company size information, they seem to foster a flexible, autonomous, and tech-forward culture.
Build prototypes and POCs that showcase Tailscale for AI agents and tooling.
Work with reference customers to integrate Tailscale, both for internal adoption and for embedding into their products to enable secure customer connectivity.
Create reference architectures and share your work through documentation, open source, community engagement, and conference presentations.
Tailscale is building a new Internet by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. They are a fully distributed company, and teams of every size use Tailscale each day to protect their networks and share access to internal tools.
Work directly with business and technical stakeholders to identify high-value data and AI use cases that can be delivered on Databricks
Design, build, and deploy production-grade data and AI solutions using Databricks capabilities across the Lakehouse, Mosaic AI, Unity Catalog, Databricks SQL, Workflows, Delta Lake, Databricks Apps, Genie, Agents, and Lakebase
Lead client discovery sessions to understand business workflows, data availability, platform maturity, integration needs, and measurable success criteria
Aimpoint Digital is a market-leading data, AI, and operations research advisory and solution engineering firm. They help organizations build modern data platforms, enterprise AI systems, decision intelligence solutions, optimization models, and production analytics capabilities.
Owns the technical direction for large-scale machine learning models, guiding the development of advanced deep learning architectures and high-impact ML systems.
Partners with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches.
Ensures efficient, reliable deployment of ML models in production and mentors the team’s technical capabilities.
Reddit is a community-driven platform where users submit, vote, and comment on topics of interest. With over 100,000 active communities and approximately 126 million daily active unique visitors, it is one of the internet’s largest sources of information.
Design, build, and operate production-grade agentic AI systems embedded across ServiceNow's platform.
Build agents that leverage ServiceNow's data layer to make decisions with context no frontier model has on its own.
Own the guardrails: observability, human-in-the-loop controls, and compliance infrastructure that make autonomous systems safe to deploy at scale.
ServiceNow is the AI control tower for business reinvention. Our AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together.
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.
Design, build, and optimize integrations, automations, and AI-driven workflows that power our enterprise data and business operations.
Develop resilient data pipelines between core platforms (Salesforce, NetSuite, Snowflake, Slack).
Implement AI-enabled capabilities that reduce manual work and accelerate insights.
Tebra is an all-in-one EHR+ platform built exclusively for independent healthcare practices. They connect EHR software, billing, automation, telehealth solution, and marketing to streamline operations and reduce burnout, serving over 42,000 private practices.
Architect, implement, and maintain AI agent orchestration platforms for multi-agent delegation, session management, and streaming interfaces.
Design and build Model Context Protocol (MCP) servers to expose domain-specific capabilities as composable tools with rigorous security and isolation.
Deploy and operate containerized services on AWS using Terraform, optimizing for cost, reliability, and observability while partnering with ML and data engineers.
Natera is a global leader in cell-free DNA testing dedicated to oncology, women’s health, and organ health, aiming to make personalized genetic testing part of standard care. The company consists of a dedicated team of professionals from world-class institutions who are stretched and challenged while working to change genetic disease management.