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, 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.
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.
Write behavioral specs, architectural constraints, and feature requirements that agents implement against.
Build and maintain harness infrastructure including structural tests, linting rules, and CI gates.
Design validation systems where agents write the tests and you verify features work from the user's perspective.
Bolo.ai builds generative AI systems for the energy industry, making daily work faster, safer, and better for heavy industry workers. We have Fortune 500 contracts, production deployments, and growing enterprise demand, and we're scaling with a small, senior-leaning engineering team.
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 and implement multi-agent AI systems using frameworks like LangChain and CrewAI, building agent-to-agent orchestration pipelines.
Fine-tune foundation models, integrate retrieval-augmented generation, and develop APIs and backend services for production deployment.
Containerize and deploy agents with Docker and Kubernetes, while collaborating with QA and product teams to benchmark accuracy and safety.
Innodata is a global data engineering company focused on enabling the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With over 36 years of experience, the company delivers high-quality data solutions and services for Generative AI builders and adopters.
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.
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.
Build and ship specialized agents including parsers, extractors, and synthesizers for the Aedeon agent-native modernization platform.
Own the full delivery of assigned agents from prototype through deployment and post-release validation, practicing test-driven development.
Write clear Python, document agent contracts and decision logic, and promote a culture of release discipline and quality across the team.
Mactores is a trusted leader in providing modern data platform solutions, enabling businesses to accelerate value through automation with end-to-end data solutions that are automated, agile, and secure. Since 2008, they have collaborated with customers to strategize and navigate digital transformation via assessments, migration, or modernization, fostering a culture driven by 10 core leadership principles.
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 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.
Own the agent layer of the platform, including architecture, prompts, tool surfaces, and multi-agent orchestration.
Drive translation and dependency-mapping accuracy across unfamiliar legacy paradigms.
Write production agent code daily, using subagents and multi-agent workflows as the normal way of working.
LTS applies frontier AI to modernize legacy systems in healthcare and government IT. It is a small, senior engineering team operating with high leverage and a culture of innovation and collaboration.
Lead the design and development of core platform features using Python and an API-first approach.
Build scalable, reliable backend services that power our applications, integrating seamlessly with a modern cloud-based architecture.
Collaborate with design and product teams to ensure that what we’re building is scalable, maintainable, and secure.
Agiloft is a global leader in data-first contract lifecycle management (CLM) software, helping organizations manage the end-to-end contract process. The company has a vibrant culture, supports multiple Employee Resource Groups (ERGs), and values work/life balance.
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.
Design and implement multi-agent AI architectures using AWS Bedrock.
Develop agent orchestration logic and collaborative agent workflows.
Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings.
We unite human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, CI&T has built partnerships with more than 1,000 clients during our 30 years of history.
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.
Build and maintain backend cloud services for Tile and other connected devices, including telemetry ingest and state management.
Own well-defined features and designs, collaborating with firmware, mobile, and platform teams.
Use AI-native engineering practices daily, including AI coding assistants for coding, testing, and debugging.
Life360’s mission is to keep people close to the ones they love through a mobile app, Tile tracking devices, and Pet GPS tracker. With about 97.8 million monthly active users and over 500 remote-first employees, we’ve become a household name for families and friends.
Lead and grow a team of backend/platform engineers building the systems that power Intercept and other critical applications.
Drive execution across planning, prioritization, and delivery with a focus on reliability and scalability.
Own the technical direction of backend services and APIs, ensuring systems are secure, performant, and maintainable.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. They're building the future of identity verification in the United States, replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.