Design and ship agentic workflows that plan, act, and re-plan in a loop, and build retrieval-augmented generation (RAG) pipelines that ground AI in real data.
Select the right model for each task, engineer prompts and context structures, and write evaluations to prove AI system correctness.
Connect AI tools to internal systems via APIs or MCP, review AI-generated code for correctness and security, and collaborate with the team to deliver complete solutions.
Own data plumbing and integrations into client systems, connecting databases, APIs, and SaaS tools.
Extract, clean, transform, and move data for AI features, including retrieval and agentic workflows.
Build and maintain data pipelines using AI coding tools while applying real engineering judgment to messy, real-world integration challenges.
Vosyn is a trailblazing Language Synthesis AI firm that dissolves language barriers and empowers users through innovative AI solutions. The company is at the forefront of a significant IPO endeavor, embodying a unicorn culture of flexibility, continuous improvement, and solution-focused strategies.
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.
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.
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 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 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.
Build and maintain AI-powered internal tools and automation workflows for the operations team using Cursor and n8n.
Design and deploy AI agents that automate repetitive operational tasks end-to-end, integrating with third-party APIs and internal systems.
Own full cycles from scoping to deployment, shipping 3-4 production releases per day, and working directly with non-technical stakeholders.
Sauce is a premier restaurant technology platform offering commission-free delivery and pickup solutions. Headquartered in NYC and Tel-Aviv, the company serves the US local restaurant market and pools seasoned tech, sales, marketing, product, and operations executives with decades of restaurant tech experience.
Work directly with business and technical stakeholders to identify high-value AI use cases and translate business problems into executable technical solutions.
Design and build enterprise-grade Claude enabled applications, agentic workflows, workflow copilots, knowledge assistants, and decision-support systems.
Help enterprise clients rationalize Claude licensing types, evaluate usage models, and design an overall licensing strategy aligned to adoption, governance, cost management, and business value.
Aimpoint Digital is a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. They help organizations design, build, and operationalize enterprise-grade data and AI platforms, decision intelligence solutions, optimization systems, and production AI applications.
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 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.
Own customer solutions end-to-end, rapidly prototyping and deploying solutions in live operational environments.
Build trusted relationships from IC level to executive sponsor, becoming the technical face of the company.
Operate as part of a tight, multi-disciplinary unit with focus and urgency, seamlessly trading tasks to whoever is closest to the skills needed.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2000 employees worldwide and 6 global offices, it has been recognized with several Top Employer awards and fosters a culture focused on technology, customers, 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.
Architect and deploy scalable Generative AI and ML systems into production.
Integrate and optimize LLMs for business planning, including RAG and prompt engineering.
Build conversational interfaces and agentic workflows using Python and modern ML practices.
Anaplan provides an AI-infused scenario planning and analysis platform that optimizes business decision-making. With over 2,400 global customers including Fortune 50 companies, the company fosters a winning culture focused on innovation and diversity.
Design, build, and deploy AI-powered product features leveraging LLMs to enhance user workflows.
Develop and maintain evaluation frameworks, guardrails, and monitoring systems for AI reliability.
Collaborate with cross-functional teams to integrate generative AI into backend services and APIs.
This company provides a modern SaaS platform that helps organizations strengthen security, compliance, and trust. They have a remote-first environment with a strong engineering culture focused on ownership and collaboration.
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.
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.
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.
Engage directly with customers to discover requirements and design AI agent workflows focused on measurable ROI.
Build integrations with customer systems (CRMs, EHRs, ERPs) and implement compliance controls like HIPAA and PCI.
Partner with sales teams during pre-sales and provide structured feedback to Product and Engineering.
RingCentral is a leading provider of business cloud communications and contact center solutions, with $2.6 billion annual revenue and a $93 billion market opportunity. The company has a diverse, inclusive culture recognized as a Best Place to Work by Glassdoor and holds offices 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, develop, and deploy AI-powered applications and full-stack solutions.
Build and iterate rapidly on prototypes, MVPs, and proofs of concept.
Collaborate directly with stakeholders to translate business needs into scalable implementations.
They are an AI-focused company building intelligent applications and scalable products. The team is small and fast-moving, with a culture of experimentation and rapid execution.