Build production-grade AI systems that enhance organizational intelligence and operational efficiency.
Collaborate with cross-functional teams to turn ambiguous AI opportunities into safe, measurable product capabilities.
Design and maintain scalable backend services, data pipelines, and human-in-the-loop workflows.
Honor Technology changes how society cares for older adults by providing technology, tools, and services for in-home care. With a global franchise network and over 100,000 Care Pros, Honor delivers 50 million hours of personalized care annually, fostering a culture of compassion and innovation.
Design and deploy AI/ML and Generative AI models to drive operational efficiencies across VBC and RCM datasets.
Implement advanced architectures including LLMs, RAG, and agentic frameworks, and build end-to-end pipelines using Python, PySpark, or T-SQL.
Apply MLOps best practices and work with cloud platforms like GCP to ensure scalable and responsible AI deployments.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices and improve patient experiences. The company is led by top industry talent and focuses on reducing healthcare costs through cloud-based technology and scalable operations.
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, build, and deploy AI/ML solutions from prototype to production for client business problems.
Apply generative AI and LLMs, establishing MLOps best practices including CI/CD and model monitoring.
Serve as a trusted technical advisor, translating ambiguous problems into well-scoped solutions and presenting to stakeholders.
DevIQ builds modern cloud and data solutions for mid-market companies focused on energy reduction, healthcare, education, and smart cities. The company offers competitive benefits, a strong team culture, and opportunities to work on end-to-end solutions with multi-disciplinary teams.
Design and scale LLM-based systems processing billions of unstructured data points daily for insurers.
Own end-to-end outcomes, set technical direction, and solve cutting-edge challenges under ambiguity.
Work in a small team where individual contributions have outsized impact on technology and business.
Kalepa is building professional-grade AI systems for the insurance industry, augmenting professionals and automating decision-making across workflows. Backed by IA Ventures and Inspired Capital, the team brings experience from Facebook, Palantir, Google, and other top companies, with a culture of hustle, meritocracy, and transparency.
Design, build, and maintain scalable machine learning infrastructure on AWS, including training and deployment pipelines.
Develop and deploy ML models for recommendation systems, fraud detection, credit risk, and personalization use cases.
Implement monitoring, logging, and alerting systems to ensure model performance, stability, and reliability in production.
Our partner is a fast-growing, innovation-driven company where machine learning and AI systems directly power large-scale fintech and commerce experiences. They foster a highly dynamic environment with strong emphasis on experimentation, rapid iteration, and measurable business impact.
Build agentic applications that solve real customer use cases using our platform capabilities.
Design agentic workflows, plugins, and tool integrations that deliver measurable customer value.
Translate ambiguous problems into intuitive AI experiences and rapidly iterate into production-ready solutions.
Legion builds secure, reliable AI systems for government and enterprise, born from a Department of Defense partnership. Trusted by leaders like Palantir, Nvidia, HPE, and Oracle, the company focuses on embedding intelligence into complex systems to optimize workflows.
Provide technical leadership and mentorship to junior engineers on the Applied AI team.
Design and implement scalable architectures for LLM-based applications, including agents and vector databases.
Develop evaluation pipelines and prototype components to validate AI product concepts.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They prioritize fair and efficient recruitment, fostering an inclusive and diversity-driven workplace culture.
Design, build, and maintain AI-powered features like LLM integrations and RAG pipelines.
Contribute to tooling for AI reliability, including observability and monitoring.
Prototype solutions quickly and work with peers to harden them for production.
Homeward creates financial products that remove uncertainty from homebuying. As a remote-first real estate startup with about 200 employees, we value the Golden Rule, One Team One Dream, and Calm Focus.
Build AI-powered tools into engineers' day-to-day workflows (e.g., Claude, VS Code, GitLab, Datadog, internal documentation, Slack chatops).
Implement and evolve inference and tool-calling pathways using Claude models on Amazon Bedrock, LiteLLM, and MCP/tool gateways within Omada's secure networks.
Partner with teams across Engineering to define AI-augmented SDLC patterns across planning, coding, testing, and operations.
Omada Health is a virtual-first healthcare and technology company that combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, focusing on chronic conditions like obesity, diabetes, and hypertension. They have served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems, and are certified as a Great Place to Work.
Deliver white-glove AI enablement, consulting, and solution engineering across assigned business units, including tool setup, training, and workflow configuration.
Build bespoke AI workflows, agents, and full-stack lightweight internal tools tailored to each area’s specific needs.
Curate prompt libraries, skill repositories, and agent context, while designing role-specific AI training and coaching.
MRO provides AI enablement and workflow solutions in healthcare. They focus on internal tool prototyping and support cross-team collaboration to boost productivity, operating with a culture of hands-on delivery and thought leadership.
Identify workflows where AI agents can achieve 10-100x efficiency gains, build the business case, and align with domain leadership.
Design and implement agentic workflows integrating CRM, ERP, ticketing, and other enterprise systems with human-in-the-loop checkpoints.
Own production agent performance, track KPIs, tune prompts and retrieval, and provide observability for continuous improvement.
Natera is a global leader in cell-free DNA testing, dedicated to oncology, women's health, and organ health. The team consists of highly dedicated professionals from world-class institutions, working in a challenging and collaborative culture.
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.
Lead complex AI engineering workstreams across multiple business areas and stakeholder groups.
Design and build AI-powered applications using LLMs, agents, and modern architectures.
Establish best practices for prompt engineering, API integrations, and code quality.
The partner company focuses on designing and delivering advanced AI solutions that help organizations transform business processes and create measurable value. It offers a collaborative and inclusive culture with opportunities for career growth and international mobility.
Design and build production-grade AI systems including RAG pipelines, agentic workflows, and LLM integrations.
Own backend services, APIs, and data pipelines end-to-end with Python as the primary language.
Translate ambiguous client requirements into scoped technical decisions and delivery plans.
Provectus is a consulting and professional services firm specializing in AI and ML solutions, serving as an AWS Premier Consulting Partner and strategic partner of Anthropic. They build custom, production-grade AI for global enterprises and operate with a remote-first culture emphasizing autonomy and ownership.
Design and deliver production-grade AI/ML and GenAI solutions on cloud platforms like AWS, ensuring scalability and business value.
Act as a senior technical advisor for enterprise customers, translating challenges into secure, cost-efficient cloud architectures.
Develop reusable frameworks and best practices from delivery work to scale successful solutions across customers.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The company operates with a global, remote-first team focused on efficient recruitment.
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.
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.
Participate in sales meetings, provide architectural recommendations, and build proof-of-concept solutions for onboarding high-spending customers.
Troubleshoot and resolve complex technical issues using code analysis, scripting, and log analysis.
Create and maintain technical documentation and deliver training sessions, webinars, and demos.
Runpod is the AI Developer Cloud, providing a platform for over one million developers to experiment, train, fine-tune, deploy, and scale AI. We are a small, remote-first team that takes ownership seriously, moves fast, and ships work relied on by more than a million developers daily.
Design and implement end-to-end agentic AI solutions using serverless AWS architecture and Amazon Bedrock.
Build production-grade AI applications and RAG pipelines, integrating enterprise systems like NetSuite and Salesforce.
Develop responsive frontend applications with React and maintain observability-rich backend services.
Our partner is a technology company focused on building next-generation agentic AI systems for enterprise customers. They offer a collaborative, high-performance engineering environment with exposure to cutting-edge AI technologies.