[Remote] AI Engineer

Note: The job is a remote job and is open to candidates in USA. H2O.ai is a leading agentic AI company focused on democratizing AI through innovative solutions. They are seeking a Senior AI Engineer to design and implement end-to-end AI solutions for complex enterprise problems, working closely with customers and a team of experts to deliver impactful AI applications.ResponsibilitiesDesign and build agentic AI systems and multi-agent frameworks that automate complex, multi-step workflows for enterprise customersDevelop and deploy LLM-powered applications using techniques including RAG, fine-tuning, prompt engineering, function calling, and tool useImplement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safetyStay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best of it into customer engagementsOwn the full development lifecycle: from problem framing and data exploration through model development, API integration, and production deploymentBuild scalable backend services and APIs that expose AI capabilities to enterprise applications and workflowsIntegrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scaleDevelop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in productionWork directly with customer data scientists, engineers, and business stakeholders to translate real-world problems into AI solutionsContribute to pre-sales and proof-of-concept engagements - building fast, credible demonstrations that win technical trustCommunicate clearly across audiences: from detailed technical design reviews with engineering teams to outcome-focused updates for business stakeholdersCollaborate closely with Program Managers, Solution Engineers, and Kaggle Grandmasters to deliver cohesive, high-quality solutionsSkills3+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deploymentDemonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similarStrong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent)Experience deploying models and AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes)Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOpsSolid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLMBackend development skills: REST APIs, containerization (Docker/Kubernetes), and CI/CD pipelines for AI applicationsStrong problem-solving instincts - comfortable with ambiguity, able to move fast without sacrificing engineering qualityClear communicator who can explain complex AI systems to non-technical stakeholders without oversimplifyingKaggle or competitive ML experienceFamiliarity with H2O.ai products, Wave, or H2O Document AIExperience in financial services, healthcare, or other regulated industry AI deploymentsExposure to tabular foundation models, AutoML, or enterprise ML platformsPrior experience in a customer-facing or field engineering roleBenefitsRemote-friendly culture with a flexible, high-trust working environment.Market-competitive total rewards package.Clear pathways for growth into senior technical leadership, architecture, or research roles.Company OverviewH2O.ai is a machine learning platform that builds smart applications. It was founded in 2012, and is headquartered in Mountain View, California, USA, with a workforce of 201-500 employees. Its website is http://h2o.ai.Company H1B SponsorshipH2O.ai has a track record of offering H1B sponsorships, with 1 in 2026, 3 in 2025, 1 in 2024, 2 in 2023, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.