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 ship production AI features end-to-end across LangGraph / LiteLLM / pgvector / Langfuse.
Drive technical architecture for the AI product line: LLM orchestration, evals, observability, latency / cost / reliability tradeoffs.
Own AI initiatives technically — from spec through production, including rollout and post-launch eval improvements.
airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. They have over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.
Design, build, and ship agentic workflows across multiple domains.
Build multi-step agents capable of autonomous planning, context tracking, memory, tool use, and API orchestration.
Drive technical and architectural decisions to meet product requirements while also anticipating and designing for future needs
Cority helps customers see and prevent risks across their operations in real time. Our EHS+ platform converges people, data, and AI agents to provide a clear view of information people can trust. For 40 years, Cority has been the market leader in EHS+, recognized by top analysts and trusted by more than 1,500 of the most complex organizations worldwide.
Lead the adoption of AI across the engineering function by designing agentic workflows and building RAG systems.
Prototype and deploy AI-powered solutions, translating business problems into scalable architectures.
Pioneer AI within the product delivery team and provide AI thought leadership across the organization.
HSP Group provides global expansion services, helping companies simplify the complex challenges of operating internationally. As a Stage B startup, they focus on delivering value through relentless innovation, execution, and customer delight.
Build agentic AI systems that change how Dataiku runs internally.
Turn real problems into working software.
See your solutions through from first conversation to production.
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.
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.
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.
Quickly iterate and develop proofs of concept to explore integrating AI into data and marketing workflows.
Make key decisions about the choice of AI architecture and frameworks.
Build production data agents to seamlessly answer analytics and data science questions.
Hightouch is an Agentic Marketing Platform that provides a composable CDP. They enable marketing teams to analyze performance, brainstorm ideas, and generate creative quickly. The team is ambitious and impact-driven, with a focus on humility, kindness, and compassion.
Consult clients during presales to assess AI readiness and translate visions into actionable requirements.
Architect multi-agent frameworks, design AI systems with defined roles, and implement learning & feedback loops.
Develop RAG pipelines, design custom models, and ensure governance, security, and cost-efficiency.
Sigma Software is seeking a Senior/Principal AI Engineer to join their Stellar AdTech Business Unit. They deliver innovative systems to global AdTech leaders and startups since 2008, with a strong AdTech competence center of 300+ employees.
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, 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 an AI control tower for business reinvention. Their 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, 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 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.
Shape technical direction and architecture: Define the foundational architecture for enterprise agentic AI at Benchling.
Build and ship the early portfolio yourself: Write production code at least half your time, particularly during the team's first year.
Design for enterprise from day one: Build for multi-tenant isolation, secrets management, audit logging, payload encryption, role-based access controls, and human-in-the-loop controls calibrated to risk.
Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. They have over 200,000 scientists around the world, from academic labs to Sanofi and Moderna.
Design, build, and operate AI systems in production.
Build and maintain data pipelines that ingest, clean, transform, and version data.
Architect and build AI agent systems and orchestration layers.
RegScale is a continuous controls monitoring (CCM) platform that helps organizations automate and scale their security, risk, and compliance programs. They are transitioning from startup execution to a disciplined, enterprise ready engineering organization, and building the team that will take them there.
Write, iterate, and maintain system prompts and instruction sets for Noodle’s AI agents across the student journey.
Build and maintain evaluation frameworks to measure agent accuracy, tone, hallucination rate, task completion, and alignment with rubric-based learning objectives.
Partner with Noodle teammates and university stakeholders to design, build, and test agents — translating learning objectives, operational flows, rubric assessments, and more into prompt-level agent instructions.
Noodle is higher education’s leading strategy, services, and technology partner that develops infrastructure, provides life-changing learning experiences, and grows the awareness of and the enrollment in some of the best academic institutions in the world. They empower universities to change the world by offering university partners various products and services.
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 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.
Ship zero-to-one AI products end-to-end — from customer discovery and prototyping through production deployment and iteration
Build agentic AI systems — design and implement autonomous and semi-autonomous workflows using LLMs, tool-use, memory, and orchestration
Develop AI tools that improve efficiency across clinical operations, data extraction, manual workflows, and more
Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. The Natera team consists of statisticians, geneticists, doctors, scientists, business professionals, software engineers and other professionals from world-class institutions.
Design and build production-grade RAG or LLM-based systems.
Architect AI systems end-to-end, considering AI guardrails and governance.
Implement validation layers and response verification mechanisms.
Cresteo aims to be a leader in people-first nearshore tech services, valuing a people-centered approach. They are built on expertise, transparency, profit-sharing, and innovation, fostering a culture where software development is seen as a human sport and art form.