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.
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.
Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
Define architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
Own evals and observability for production AI and manage cost and latency at production volume.
Maxwell is a mortgage technology and fulfillment company with a mission to make lending simpler, faster, and more accessible. They power hundreds of lending institutions with their mortgage Point of Sale and related capabilities and are a remote-first team that takes craft seriously.
Design, build, and maintain production-grade AI systems and customer-facing AI features.
Develop agentic workflows using LLMs, retrieval systems, tools, APIs, and backend services.
Design and implement retrieval-augmented generation (RAG) systems, including ingestion pipelines, embeddings, semantic retrieval, and context assembly.
Givzey is a fast-growing and innovative technology company serving the nonprofit sector, on a mission to unlock more generosity through AI-powered donor engagement. In just three years, Givzey’s platform has already helped organizations raise $10M+ through autonomous engagement.
Design pragmatic solutions for real problems, assessing each use case and selecting the right approach.
Rapid prototyping and iterative delivery, shipping functional prototypes within days and validating value with real users.
Build agentic AI systems where justified, designing and implementing multi-agent architectures and LLM-based tooling.
Zinier empowers frontline workers to achieve greater things. They are a remote-first, global team headquartered in Silicon Valley with a hybrid workforce across the United States, Canada, Europe, Latin America, Singapore, and Bangalore, India.
Architect, design, and build backend systems that transform our internal AI technology into a scalable, market-ready product.
Design and optimize APIs, database schemas, and data processing workflows that seamlessly integrate with our AI/ML pipelines.
Mentor junior engineers, promote best practices, and advocate for a high standard of code quality and testing.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform. They aim to make world-class healthcare available anytime, anywhere while significantly reducing costs. Sword Health has over 1,000 enterprise clients.
Design, implement, and deploy ML/AI models end-to-end, from concept through production, including data pipelines, training workflows, and optimization.
Maintain and evolve AI systems in production, monitoring for drift, debugging issues, and driving ongoing improvements to reliability and scalability.
Partner closely with product, engineering, and data teams to align AI work with broader product and business goals.
Robots & Pencils is an applied AI engineering firm that designs and ships AI co-workers integrating into operations and delivering results for clients. Founded in 2009, they have delivery centers in Canada, the United States, Eastern Europe, and Latin America, with teams averaging 15+ years of experience.
Own the end-to-end integration architecture across our People Tech stack.
Lead the technical delivery of new system implementations, migrations, and decommissioning initiatives.
Build and deploy AI-powered workflows and agents that automate recruiting operations, onboarding, reporting, and performance cycles.
Chainlink is an industry-standard oracle platform bringing capital markets onchain and powering decentralized finance. Chainlink Labs is seeking an exceptional AI & Integrations Engineer to join their People Technology and Analytics team and simplify their people tech stack and embed AI-powered workflows across the organization.
Design, build, and ship LLM-powered features and agentic workflows for Gametime users.
Build and maintain evaluation frameworks and prompt testing pipelines for AI-powered experiences.
Contribute to orchestration layer, including agent routing, tool use, and multi-step workflow coordination.
Gametime helps people connect through shared live experiences. They operate platforms on iOS, Android, mobile web, and desktop, supporting over 60,000 events across the US and Canada, fostering a collaborative and inclusive environment where diverse perspectives are valued.
Talk to people, then build things, working directly with business and engineering teams to understand what's slowing them down.
Own the whole thing by prototyping, hardening, deploying, and monitoring internal tools that need to work reliably.
Write code other people can maintain building clean systems and establishing practical patterns for secure AI usage.
Promenade empowers local businesses with products and services that allow them to thrive online and offline. They build vertically-focused software catered to each industry, leveling the playing field between small businesses and large aggregators; backed by industry investors.
Own end-to-end execution of AI agent deployments from discovery and scoping through launch and optimization.
Configure agent workflows, decision logic, and automation behaviors to maximize accuracy, reliability, and business outcomes.
Implement guardrails and validation frameworks to ensure safe, compliant, and predictable agent performance.
Level AI is transforming how enterprises understand and engage with their customers. Their AI-native CX platform combines conversation intelligence, real-time agent guidance, and AI Virtual Agents to help brands deliver exceptional customer experiences at scale. At Level AI, they operate with urgency, ownership, and a deep customer-first mindset.
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.
Evaluate and refine AI prototypes built by business units to enhance commercial ROI, security, and architecture.
Refactor high-value internal AI prototypes into secure, scalable, enterprise-grade applications.
Build and maintain secure LLM integrations with internal systems like data lakes and Salesforce, ensuring full-lifecycle maintenance of applications.
Impiricus is an AI-powered HCP Engagement Engine that ethically connects healthcare professionals to pharmaceutical resources to reduce go-to-market costs and accelerate patient access to treatments. It is a fast-growing company with a unique network of HCPs and advisors, fostering a collaborative and impactful culture where employees can work flexibly.
Design and develop data pipelines, scoring algorithms, and API infrastructure to power AI-driven matching and recommendation capabilities.
Build and maintain integrations between the matching engine and an existing program management platform.
Collaborate with SMEs to build, test, and refine user-configurable matching logic.
LMI is dedicated to accelerating government impact with innovation and speed, bringing commercial-grade platforms and mission-ready AI to federal agencies. Headquartered in Tysons, Virginia, they are committed to delivering impactful results that strengthen missions and drive lasting value.
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.
Build the application-layer foundations for AI integration at Roofr.
Design and implement reliable, scalable integrations with third-party services and APIs.
Build data pipelines that feed Roofr's AI systems.
Roofr is obsessed with its customers and constantly gathers feedback to shape its products. Roofr has an amazing culture, strong financials, and best-in-class company metrics and offers its team significant growth and equity.
Lead AI strategy and execution, integrating AI into core products and accelerating development workflows.
Architect and build complex, scalable systems and AI-driven features using technologies like Python, Java, AWS, and GCP.
Provide technical leadership, mentorship, and cross-functional collaboration to solve complex problems and drive successful outcomes.
Tebra provides an all-in-one EHR+ platform designed exclusively for independent healthcare practices to connect EHR software, billing, automation, telehealth, and marketing. The company serves over 42,000 private practices and fosters a culture of entrepreneurship, customer focus, simplicity, teamwork, and celebration.
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.
Collaborate with engineering and cross-functional teams to translate business problems into an ML product roadmap.
Contribute hands-on technical expertise as a player-coach, providing strategic direction and mentorship to the team.
Establish an engineering setup enabling rapid iteration, experimentation, and deployment of models, fostering operational excellence.
Twilio is shaping the future of communications by delivering innovative solutions to hundreds of thousands of businesses. They empower millions of developers worldwide to craft personalized customer experiences, emphasizing a remote-first culture with a vibrant and globally inclusive team.
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, build, and implement an end-to-end AI-powered tender response platform.
Develop and maintain backend services and AI workflows using AWS-native technologies.
Build and manage infrastructure using Terraform and cloud-native best practices.
Smart Working believes that your job should not only look right on paper but also feel right every day. They break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles.