Design and build production-grade LLM-powered agents and workflows for enterprise-scale AI solutions.
Develop and optimize RAG pipelines, agent reasoning patterns, and evaluation frameworks to measure model quality.
Collaborate with Engineering, Product, and cross-functional teams to translate business requirements into impactful AI systems.
Smartsheet builds AI-powered strategic planning and work execution agents through SmartAssist, an intelligent agent platform. The company is a publicly traded, large enterprise with a collaborative, inclusive culture that values diverse perspectives and engineering rigor.
Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
Own architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
Manage evals and observability for production AI, ensuring system accuracy and detecting regressions.
Maxwell is a mortgage technology and fulfillment company on a mission to make lending simpler, faster, and more accessible. It is a remote-first team that takes craft seriously and moves with intention, building a cutting-edge AI company in mortgage technology.
Lead end-to-end AI project delivery, ensuring governance, stakeholder communication, and reliable execution.
Design and build robust RAG systems, agentic frameworks, and LLM-powered solutions for production environments.
Mentor junior engineers and contribute to proposals, solution design, and new business initiatives.
Blend is a premier AI services provider that co-creates meaningful impact for clients through data science, AI, technology, and people. With a mission to fuel bold visions, the company aligns human expertise with artificial intelligence, fostering innovation and value for its clients.
Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients.
Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration.
Mentor and support other ML engineers on the team with code reviews, technical guidance, and knowledge sharing.
TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients. We are a 100% remote team of 11+ people, partnering with unicorns and NASDAQ-listed companies, and have a culture of autonomy, open communication, and continuous learning.
Set technical direction for complex GenAI and agentic systems, building them hands-on and raising the bar for production-ready AI.
Own the hardest problems in AI portfolio, from agentic platforms at scale to AI in regulated, high-stakes environments.
Partner directly with client leadership to translate business strategy into AI architecture and shape solutions in pre-sales.
Egen is a fast-growing and entrepreneurial company with a data-first mindset, helping clients drive action and impact through data and insights using advanced technology platforms like Google Cloud and Salesforce. We are committed to being a place where the best people choose to work, dedicated to learning, thriving on solving tough problems, and continually innovating to achieve fast, effective results.
Design, build, and ship production-grade AI agent features (PM Agent, Execution Agent, External Onboarding Agent) that automate real implementation work.
Lead design partner engagements to develop custom agent workflows, iterating based on customer feedback to productize reusable components.
Contribute to the MCP server and platform layer, ensuring reliable retrieval, evals, and tool integrations across the full AI stack.
TaskRay is the leader in post-sale work management in the Salesforce ecosystem, helping companies ensure flawless customer experiences post-sale. The company has a culture centered on Connection, Integrity, Hunger, and Thrive, with a small team that values high performance and innovation.
Lead technical execution of complex AI initiatives, designing and delivering ML and LLM systems for patient and provider-facing products.
Own problems end-to-end: scope with clinicians, build datasets, iterate on modeling, and ship to production with monitoring and guardrails.
Develop robust evaluation frameworks including offline benchmarks, human-in-the-loop review, and online experiments to ensure model safety and accuracy.
Curai harnesses artificial intelligence and clinical expertise to make healthcare more affordable and accessible for everyone. They are a small, senior team committed to rigorous research, clinical integrity, and improving health outcomes.
Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows.
Develop backend services, APIs, and application architectures integrating AI capabilities into enterprise systems.
Deploy AI solutions with security, observability, monitoring, evaluation, and governance.
Aimpoint Digital is a data, AI, analytics, and operations research advisory and solution engineering firm that helps organizations design and deploy enterprise-grade AI platforms and production applications. The company is a technical partner focused on moving beyond experimentation, emphasizing strong engineering discipline and scalable architecture.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Design, develop, and deploy production-ready AI solutions using LLMs and RAG pipelines.
Own the end-to-end lifecycle of AI features from problem definition to monitoring and improvement.
Collaborate closely with software engineers and business stakeholders to embed AI into customer-facing products.
The company is a modern SaaS provider that builds cutting-edge AI solutions. It has a collaborative, diverse, and inclusive international culture with a focus on innovation and continuous learning.
Design, build, and operate AI systems that solve real business problems across Finom, from prototype to production.
Own AI systems end-to-end including problem framing, architecture, implementation, evaluation, deployment, monitoring, and iteration.
Partner with solution managers, domain teams, and engineers to integrate AI into real workflows and deliver production-grade AI capabilities.
Finom is a European tech startup developing an all-in-one financial B2B solution integrating banking, accounting, and invoicing. With over $346 million in total funding, they are expanding across key EU markets and maintain a start-up culture focused on innovation and employee empowerment.
Build the AI Platform Foundation by leading design and ownership of core infrastructure.
Standardize the AI Developer Path by architecting high-level abstractions and APIs.
Engineer AI Trust & Safety Systems through monitoring and quality assurance layers.
Smartsheet provides a collaborative work management platform. As a publicly traded company with thousands of employees, it fosters a culture of innovation and inclusion.
Own the technical vision and implementation of AI capabilities for MRO's healthcare products, including RAG pipelines and LLM integrations.
Architect and evolve production AI systems with human-in-the-loop feedback and model quality frameworks.
Collaborate with product, data engineering, and engineering teams to translate complex healthcare workflows into scalable, accurate, and compliant AI solutions.
MRO is a healthcare software company that builds AI-powered solutions for healthcare registry management. They are a full-time, remote-first organization with a focus on compliance and quality.
Lead the design and implementation of scalable AI-powered solutions across the product ecosystem.
Automate manual workflows using AI-driven approaches, ensuring measurable efficiency gains.
Architect and build semantic data models and agent-based architectures for intelligent task automation.
Sigma Software is a technology company specializing in AI-powered product development. They foster a culture of innovation, ownership, and engineering excellence with a highly skilled international team.
Lead the design and development of scalable AI solutions, from experimentation to production deployment.
Define AI engineering standards and best practices, influencing architecture decisions across teams.
Collaborate with cross-functional stakeholders to integrate generative AI and LLM capabilities into products.
The company is at the forefront of AI-driven product development, focusing on building scalable and intelligent systems. It fosters a culture of innovation and technical excellence, with a remote team and a commitment to engineering leadership.
Design, build, and operate multi-agent workflows and tool-enabled agents for resilient production pipelines.
Architect and maintain end-to-end RAG systems covering document ingestion, chunking, embedding, retrieval, and answer synthesis.
Define and own evaluation frameworks for generative outputs, including automated metrics, LLM-as-judge, and hallucination detection.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. With over 35 years of experience, we serve 20,000 client companies globally, including 30% of the Fortune 500, and foster a diverse, inclusive culture centered on individual excellence and learning.
Design and architect Generative AI solutions on AWS
Advise customer leadership on AI strategy, adoption, and governance
Build and deploy scalable AI applications leveraging Amazon Bedrock and foundation models
HIKINEX is a technology company focused on AI and cloud solutions. They specialize in deploying generative AI on AWS and offer consulting services to enterprise clients.
Design, develop, and deploy scalable AI solutions using RAG, agentic frameworks, and MLOps.
Collaborate cross-functionally on cutting-edge projects integrating tools like LangChain, CrewAI, and Google ADK.
Apply advanced prompt engineering and monitor AI application performance to ensure robust solutions.
Blend is a premier AI services provider that co-creates meaningful impact for clients through data science, AI, technology, and people. The company fosters a collaborative culture with opportunities for learning and growth across a diverse team.
Design and deliver advanced AI solutions for legal and compliance operations at enterprise scale.
Build end-to-end AI applications using LLMs, RAG, and agentic frameworks with Python and modern orchestration tools.
Partner with legal stakeholders to identify automation opportunities and develop secure, scalable production systems.
Jobgether uses AI-powered matching to connect candidates with hiring companies, streamlining the application process. They operate remotely and focus on efficient, technology-driven recruitment.
Design and build production-ready AI agents that allow users to query enterprise data using natural language.
Develop Text-to-SQL pipelines using LLMs, ensuring generated queries are accurate, secure, and performant.
Collaborate with cross-functional teams to integrate AI into scalable platforms and improve accuracy through testing.
This role is listed on behalf of a partner company, which manages all applications and next steps. The company uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.