Design and build production-grade LLM-powered agents and workflows, including architecture decisions on system design and deployment.
Develop and optimize prompts, RAG pipelines, and agent reasoning patterns, building evaluation frameworks for accuracy and performance.
Implement and manage end-to-end AI systems on cloud infrastructure (AWS, GCP, or Azure), collaborating with cross-functional teams.
Smartsheet empowers teams to manage work seamlessly and scale solutions smarter with AI-powered agents. The company fosters an inclusive, collaborative culture where diverse perspectives are valued.
Own AI systems end to end: from ingestion to serving, including retrieval and agentic workflows.
Build production RAG and semantic search systems grounded in the warehouse.
Design and ship self-service AI tooling and agentic workflows for 200+ internal stakeholders.
We are a healthcare technology company connecting people and partners with coverage, care, and solutions. We are curious, collaborative, and always looking for better ways to solve problems.
Own the ML/AI platform, including training infrastructure, model serving, inference pipelines, and production integrations.
Set technical direction for ML/AI architecture, tooling, standards, and strategy in partnership with data science and engineering.
Drive GenAI and LLM engineering, including RAG, prompt engineering, fine-tuning, and agentic workflows.
This company builds AI/ML infrastructure for financial technology products used by over 1,600 financial institutions. It operates as a globally distributed team with a focus on innovation and collaboration.
Design and deploy enterprise-grade AI solutions, autonomous agents, and multi-agent systems.
Build production-ready AI capabilities using LLMs, LangChain, AutoGen, CrewAI, and MCP.
Collaborate across squads to ensure consistent architectural standards and MLOps/AIOps practices.
Inetum is a European leader in digital services, helping businesses and public sector organizations achieve digital transformation. With 26,000 consultants and specialists across 19 countries, they emphasize proximity, flexibility, and responsibility, generating €2.2 billion in revenue in 2025.
They are a technology company focused on integrating AI capabilities into customer-facing products and internal workflows. The team is fast-moving and product-focused, with a culture of ownership and continuous iteration.
Design, develop, and deploy AI/ML models including NLP, predictive models, and intelligent automation workflows.
Integrate LLM-powered features using APIs like OpenAI and implement RAG patterns and AI agent workflows.
Collaborate with cross-functional teams to translate requirements into AI use cases and contribute to engineering best practices.
We are a confidential US-based organization dedicated to leveraging AI and technology to drive business transformation. Our team values innovation and collaboration, and we foster a culture that supports employee growth and responsible AI practices.
Design and develop AI models, agents, and workflow automation for clinical terminology and content operations, taking them from experimentation to production.
Build agentic workflows combining LLMs, tools, APIs, and retrieval to complete complex tasks, and implement MLOps practices for reliable deployment.
Partner with data science and clinical teams to productionize existing agents and drive continuous improvement with a focus on auditability and human-in-the-loop review.
IMO Health provides clinical terminology solutions for healthcare organizations, enabling accurate data normalization and interoperability. They are a mid-sized company focused on innovation and collaboration, emphasizing a culture of technical excellence and cross-functional teamwork.
Deliver production-ready AI solutions in agile sprints, owning backend services, LLM pipelines, and front-end integrations.
Partner with strategic customers to design, implement, and deploy scalable AI-native solutions on the Now AI Platform.
Codify reusable patterns and influence platform strategy through field-tested insights and code.
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter, faster, and better. They are building an AI-native culture where technology and talent are unstoppable together.
Build and deploy data pipelines and generative AI solutions on AWS, including ETL/ELT workflows and RAG systems.
Work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.
Collaborate in agile environments and participate in code reviews to ensure high-quality engineering standards.
Innovative Solutions is a technology consulting firm that helps clients build and deploy modern data and AI solutions on AWS. The company values collaboration and is committed to delivering production-ready solutions.
Architect and build production-grade internal AI tools and shared platform capabilities used by teams across Fullscript.
Lead the technical design and delivery of complex AI integrations, including MCP-based tool use, agentic workflows, and model gateways.
Independently take ambiguous business problems from technical discovery through implementation, deployment, measurement, and ongoing operation.
Fullscript is a health technology company that helps practitioners access products and deliver better care. With over 125,000 practitioners and 10 million patients, we build tools that make care smarter and more human, fostering a culture of growth, teamwork, and impact.
Design, build, and ship AI-powered features end-to-end, from prototype to production.
Work hands-on with LLMs, embeddings, RAG, and related tooling to solve real product problems.
Own architecture and technical decisions, balancing quality, cost, and latency across the stack.
Usersnap builds AI-driven capabilities into its product, from automated setup to intelligent surveys and self-generating reporting. It is part of saas.group, a fully remote portfolio of 25 B2B SaaS brands with nearly 380 colleagues in 50+ countries and a high-trust culture.
Operate as a technical leader shaping architecture and quality, mentoring developers, and translating technical decisions into business value.
Design, build, and operate agentic AI systems including LLM services, retrieval pipelines, and multi-agent orchestration with end-to-end accountability.
Lead AI-augmented development practices, evaluating emerging technologies and establishing team-level guardrails for safe and effective AI tool use.
Caseware is a Canadian fintech company that has led the global audit and accounting software industry for over 30 years, serving over 500,000 users across 130 countries. With more than 36,000 professionals listing Caseware as a skill, they foster a culture of independence, innovation, trust, and accountability in a growing global SaaS environment.
Take the operator's seat for two to four weeks at the start of an engagement, learning the function from the inside before writing any code.
Build and ship production GenAI systems, including LLM applications, agentic workflows, and retrieval pipelines, on AWS into the customer's environment.
Own the outcome by working in a pair with a Forward Deployed Executive, with your work measured against the business unit's KPIs.
Provectus is a Premier AWS partner and Anthropic Strategic Partner that helps enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, the company has a team of over 100 AWS-certified engineers who work embedded inside client operations as Forward Deployed Engineers, focused on reimagining how businesses operate and compete.
Design, build, and deploy generative AI systems using large language models, RAG, and agentic workflows.
Own the full lifecycle from experimentation to production, including evaluation, infrastructure, and monitoring.
Collaborate with Product, Engineering, and Data teams to turn AI ideas into scalable, secure customer experiences.
Typeform is a form builder that helps over 150,000 businesses collect data with forms, surveys, and quizzes that people enjoy. With 500 million responses annually, we are a diverse team of 500+ employees committed to excellence, respect, and transparency.
Design, build, and improve production agentic AI systems used to solve complex real-world problems.
Develop agent architectures, model integrations, and evaluation frameworks for reliable, production-grade AI.
Build scalable APIs, services, and infrastructure supporting agent execution and AI-powered product experiences.
Air is the leader in Enterprise Readiness, providing an AI-native platform to align development, production, delivery, and sustainment for government agencies and industrial suppliers. The company is a startup with a focus on mission-driven work and innovation.
Design and implement LLM solutions including RAG, agents, and prompt orchestration.
Integrate AI provider APIs (OpenAI, Anthropic, Google) into production systems with focus on cost and latency.
Evaluate architectures and define metrics for model quality and production monitoring.
Redbee is an Argentine technology company with over 14 years of experience redefining digital products in the financial industry. They are passionate about co-creating innovative solutions and focus on delivering value quickly and with quality.
You will work directly within client environments, translating real operational needs into production-ready AI systems rather than proof-of-concept solutions.
The role spans technical discovery, architecture, software development, deployment, optimization, and ongoing delivery ownership.
You will design and build RAG systems, agentic AI workflows, backend services, and cloud-native architectures that operate at enterprise scale.
Jobgether uses an AI-powered matching process to connect candidates with roles at partner companies. They operate remotely and focus on efficient, fair hiring through automated shortlisting, with a commitment to data privacy and human oversight in final decisions.
Write and ship production AI code daily as an active contributor.
Build the retrieval, graph, and inference layers on top of our data platform.
Set patterns other teams build against and turn company goals into shipped systems.
Acquia empowers brands to create digital customer experiences using its Drupal-based Digital Experience Platform. It is a Great Place to Work-Certified company with thousands of global organizations as clients.
Design, develop, and deploy AI solutions that power business products and operations.
Collaborate with product, data science, and engineering teams to build scalable, production-ready AI systems.
Write clean, maintainable code and integrate AI/ML models into backend and frontend applications.
Zone & Co is the ERP-native AI platform for financial operations, purpose-built for organizations running on Oracle NetSuite. They serve more than 4,500 customers worldwide and operate as a high-velocity, fully remote, global team.
Own the shared AI foundation used by product engineering teams, including model selection, routing, context management, and evaluation.
Design and ship agentic capabilities end to end, from proof-of-concept through production optimization and iterative improvement.
Establish evaluation infrastructure and practices to measure model and agent performance, ensuring quality and accuracy for financial decision-making.
Our partner is building a suite of financial planning and analysis capabilities powered by a shared AI foundation. They operate as a remote-first engineering team with a focus on autonomy, craftsmanship, and high-impact work.