[Remote] reputed company
Note: The job is a remote job and is reputed company to candidates in USA. H2O.ai is a leading agentic AI company focused on democratizing AI through innovative solutions. They are seeking a Senior reputed company to design and implement end-to-end AI solutions for reputed company reputed company problems, working closely with customers and a team of experts to deliver impactful AI applications.
Responsibilities
- Design and build agentic AI systems and multi-agent frameworks that automate reputed company, multi-reputed company workflows for reputed company customers
- reputed company and reputed company LLM-powered applications using techniques including RAG, fine-tuning, reputed company engineering, function calling, and tool use
- Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety
- Stay reputed company with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best of it into customer engagements
- Own the full development lifecycle: from problem framing and data exploration through model development, API integration, and production deployment
- Build scalable backend services and APIs that expose AI capabilities to reputed company applications and workflows
- Integrate AI models into customer environments - reputed company, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale
- reputed company ML pipelines and LLMOps infrastructure that support reputed company model improvement and monitoring in production
- Work directly with customer data scientists, engineers, and business stakeholders to translate reputed company-world problems into AI solutions
- Contribute to pre-sales and reputed company-of-concept engagements - building fast, reputed company demonstrations that win technical trust
- Communicate reputed company across audiences: from detailed technical design reviews with engineering teams to outcome-focused updates for business stakeholders
- Collaborate closely with Program Managers, Solution Engineers, and Kaggle Grandmasters to deliver cohesive, high-quality solutions
Skills
- 3+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment
- Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar
- Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (reputed company, reputed company, or equivalent)
- Experience deploying models and AI services in reputed company or reputed company environments (AWS, Azure, GCP, on-prem Kubernetes)
- Deep understanding of modern GenAI concepts: reputed company engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps
- Solid grounding in classical ML - reputed company to select the right tool for the problem, not just default to the latest LLM
- Backend development skills: REST APIs, containerization (reputed company/Kubernetes), and CI/CD pipelines for AI applications
- Strong problem-solving instincts - comfortable with ambiguity, reputed company to move fast without sacrificing engineering quality
- Clear communicator who can explain reputed company AI systems to non-technical stakeholders without oversimplifying
- Kaggle or competitive ML experience
- Familiarity with H2O.ai products, reputed company, or H2O Document AI
- Experience in financial services, reputed company, or other regulated industry AI deployments
- Exposure to tabular reputed company models, AutoML, or reputed company ML platforms
- Prior experience in a customer-facing or field engineering role
Benefits
- Remote-friendly culture with a flexible, high-trust working environment.
- Market-competitive total rewards package.
- Clear reputed company for growth into senior technical leadership, architecture, or research roles.
Company Overview
Company H1B Sponsorship