Develop and deliver production features using Claude Code and agentic engineering workflows.
Design, deploy, and maintain cloud-based services using GCP technologies including BigQuery, Cloud Run, and Vertex AI.
Establish best practices for agentic software engineering and mentor engineers on modern AI-assisted development approaches.
The company is a technology firm focused on AI-powered software delivery and cloud engineering. It operates as a remote-first organization with a collaborative culture emphasizing innovation and trust.
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.
Lead the development and governance of AI and automation solutions across the organization, ensuring security and scalability.
Build shared infrastructure and forward-deployed AI tools, partnering with departments to ship production-ready workflows.
Manage AI cost efficiency and intake processes, replacing ad-hoc builds with governed, cost-effective systems.
HopSkipDrive creates opportunity through safe supplemental student transportation, connecting kids to vetted caregivers via a marketplace. It is a Series D company with over $100M raised, growing rapidly and recognized on the Inc. 5000 and Deloitte 500 Fast-Growing Technology lists.
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.
Design, develop, and deploy production-ready generative AI and machine learning applications.
Collaborate with cross-functional teams to integrate AI capabilities into business systems.
Apply prompt engineering, retrieval-augmented generation, and evaluation strategies to optimize AI performance.
The company is a technology firm specializing in AI transformation initiatives. It fosters a collaborative culture centered on learning, innovation, and professional development.
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.
Embed with enterprise customers to architect and deploy production-grade AI solutions on Google Cloud.
Design and implement RAG pipelines, multi-agent systems, and agentic wrappers using Vertex AI and Gemini.
Co-build with customer engineering teams and drive handoff for long-term ownership.
Valtech is the experience innovation company that helps brands unlock new value in a digital world. They foster a workplace culture of creativity, diversity, and autonomy with a global team.
Develop and maintain AI-powered applications using Python and generative AI models, including LLMs and prompt engineering.
Integrate AI services like OpenAI or Azure OpenAI into workflows and support cloud infrastructure on AWS, Azure, or Google Cloud.
Contribute to monitoring and observability using tools like Datadog, Grafana, and Splunk, while assisting with automation and containerized environments.
This position is listed on behalf of a partner company, which manages all applications and next steps. The company is looking for a Gen AI Specialist based in the United States, offering a fully remote work opportunity with flexibility and autonomy.
Lead the AI and automation roadmap for pre-sales operations.
Design and deploy AI agents and workflows to improve customer engagement.
Collaborate with sales, solutions, and marketing teams to drive revenue growth.
The partner company is a technology firm focused on AI-driven go-to-market solutions. They operate with a remote-first culture and emphasize innovation and collaboration.
Build and maintain end-to-end deployment pipelines for AI-powered applications, including artifact builds, environment promotion, rollback, and observability hooks.
Stand up and operate the runtime and lifecycle infrastructure for production agents, including deployment, versioning, monitoring, rate-limiting, and retirement.
Design and build the shared developer harness that every AI-powered service uses: prompt management, model routing, retries, tracing, eval hooks, and policy enforcement.
RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. As a leader in SaaS technology for healthcare, the company offers innovative solutions with integrated intelligence on a single enterprise platform, connecting the pharmacy ecosystem.
Develops and maintains scalable cloud infrastructure on Google Cloud Platform to support AI applications and robotic systems.
Designs and implements APIs and backend services that enable seamless integration between cloud platforms, web applications, and robotics.
Collaborates with machine learning and research teams to optimize data processing, system performance, and reliability.
This partner company is at the forefront of AI and autonomous technology, developing advanced systems that power the future of robotics and intelligent automation. The team is collaborative and innovative, focused on building scalable cloud infrastructure and AI applications.
Design, implement, and maintain ML-driven services and data workflows in Python.
Apply software engineering best practices, including clean code, testing, CI/CD, and documentation.
Deploy and operate ML services on GCP, using tools like Cloud Run, GKE, and BigQuery.
CertifyOS builds the data infrastructure that powers modern healthcare, automating provider licensing, enrollment, and credentialing via an API-first platform. They are backed by leading investors and built by a team with deep experience in provider data systems, emphasizing authenticity, accountability, and collaboration.
Design and deploy autonomous AI agents to automate construction and estimation workflows.
Build agentic AI workflows using LLM frameworks such as LangChain, LangGraph, and Claude Code.
Integrate AI applications with cloud platforms and optimize system performance for scalability and reliability.
The company develops AI-driven solutions for construction and estimation workflows. It is a stable and growing organization that values continuous learning and innovation.
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.
Own product initiatives end-to-end, from discovery to delivery, combining engineering expertise with product judgment.
Translate ambiguous business goals into clear workflows, technical plans, and polished user experiences.
Use AI-assisted development tools to accelerate coding, debugging, refactoring, and testing.
Jobgether is an AI-powered job matching platform that connects candidates with companies. They use technology to review applications and share top candidates with hiring teams, fostering an inclusive, collaborative environment.
Build production features using Claude Code as your primary environment to accelerate delivery.
Design and run agent workflows and MCP servers that automate SDLC tasks like test generation and security scanning.
Pair with domain experts to turn intent into shipped features on a weekly cadence.
Incubeta is a leading AI Outcomes Agency that turns proven engineering patterns into client products on Google Cloud. It operates with a global, distributed team and an agentic-first engineering culture focused on high autonomy and trust.
Design and build LLM-powered AI components for internal tools and user-facing applications.
Develop systems for data retrieval, embeddings, and intelligent automation workflows.
Collaborate with cross-functional teams on AI use cases and contribute to technical vision.
Jobgether powers job matching using AI to connect candidates with opportunities. They emphasize a remote-first, collaborative culture with high autonomy and flat structure.
Lead the architecture strategy for generative and agentic AI platforms, transforming complex business challenges into scalable solutions.
Collaborate with engineering teams, executives, and enterprise clients to define secure, production-ready architectures.
Influence AI adoption strategies, establish best practices, and shape the future of AI-powered solutions.
The company designs and delivers enterprise-grade AI solutions built on advanced cloud technologies. It offers a remote-first culture with a focus on innovation and collaboration among talented engineers.
Identify and map workflows to find step-change opportunities for AI automation.
Design and build future-state workflows using agents, integrations, and human-in-the-loop checkpoints.
Deploy and run agents in production, tracking KPIs and iterating on performance.
Natera is a global leader in cell-free DNA testing, focusing on oncology, women's health, and organ health. The company employs a diverse team of dedicated professionals from world-class institutions, fostering a collaborative and inclusive culture.
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.