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, 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.
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 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.
Orchestrate High-Velocity Workflows: Leverage advanced agentic coding tools (e.g., Cursor, multi-agent environments) to dramatically accelerate feature prototyping, code generation, and test coverage.
Own the Guardrails & Quality: Act as the ultimate reviewer and architect; define the specifications, establish repo-context guardrails, and review AI-accelerated output for hidden security risks, scale bottlenecks, and architectural alignment.
Build Scalable Application and Data Layers: Design, build, and maintain our data pipelines and application to service our hundreds of users.
EvolutionIQ provides technology to improve insurance claims handling. The company is experiencing massive growth and has been named a top workplace, prioritizing its team.
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 build scalable backend systems powering AI agents in real-time enterprise environments.
Develop agent orchestration frameworks and low-latency inference pipelines integrating LLMs and SLMs.
Build robust APIs and work with cross-functional teams to productionize agentic AI at scale.
Level AI is an AI-native platform that helps enterprises transform contact centers into engines of customer intelligence and operational efficiency. The company is a Series C startup backed by Battery Ventures and ENIAC, based in Mountain View, California, with a globally distributed team.
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.
Build multi-agent AI systems and automation platforms for Marketing Operations at scale.
Design and implement LLM integrations, backend services, and agentic workflows.
Partner with cross-functional teams to identify high-impact automation problems and ship measurable solutions.
Grafana Labs is the company behind the open observability cloud, offering a fully managed platform with AI capabilities to help organizations monitor and optimize their systems. With over 1,600 team members across 40+ countries and backed by top investors, we maintain a 100% remote, collaborative culture rooted in open source and innovation.
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.
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.
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.
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 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.
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.
Architect and ship production-grade agentic AI applications including multi-agent orchestration, retrieval systems, and evaluation pipelines.
Design and build learner-facing AI experiences and operator tools end-to-end using React and TypeScript.
Own production reliability for AI systems including model failover, rate limiting, cost monitoring, and incident response.
Chegg Skills builds applications that help motivated career switchers transition into high-growth roles. The company serves thousands of learners and educators each year through a high-ownership engineering team rethinking modern education.
Serve as the first point of contact for client technical requests and advanced automation needs.
Design end-to-end agentic data and workflow architectures.
Develop and fine-tune LLM applications for data enrichment, content generation, and data segmentation.
Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.
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.
Work directly with insurance brokers, MGAs, and carriers to deploy AI-powered solutions for their workflows.
Use LLMs, embeddings, and structured data pipelines to build features like document review and quote comparison.
Rapidly prototype and productionize features based on customer feedback and real usage.
Outmarket is transforming the commercial insurance industry with AI by helping brokers, MGAs, and carriers unlock insights from their data and automate workflows. Their team brings experience from Meta, IBM, Adobe, and Uber and focuses on shipping quickly and building scalable solutions.
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.