Senior AI Engineer
h2o.ai
Bengaluru, Karnataka, IndiaSENIOR
HybridGenerative AIAI Applications
Job Description
We are looking for a Senior AI Engineer who builds end-to-end AI solutions for complex enterprise problems.
Responsibilities
- Design, build, and deploy AI-powered applications, predictive machine learning models, and agentic systems.
- Own end-to-end AI solution design spanning data preparation, feature engineering, model development, evaluation, deployment, monitoring, and adoption.
- Architect production-ready AI applications incorporating predictive ML, GenAI, RAG, SLMs/LLMs, agent workflows, and enterprise integrations.
- Build scalable backend services, APIs, and AI workflows integrating models, agents, data platforms, and user-facing applications.
- Design and implement production-grade GenAI systems including RAG pipelines, evaluation frameworks, and agent orchestration.
- Guide customers through predictive analytics, GenAI adoption, model governance, and responsible AI practices.
- Deliver technical workshops, hackathons, and enablement programmes.
- Collaborate with product and engineering teams to build reusable assets and reference architectures.
- Translate technical outcomes into measurable business value.
- 5+ years of experience in AI, machine learning, data science, or software engineering roles.
- Strong predictive ML foundation (feature engineering, modelling, validation, evaluation, interpretability).
- Experience building and deploying production AI applications or services.
- Experience with GenAI: LLMs, SLMs, RAG, prompt engineering, evaluation, fine-tuning, agentic workflows.
- Strong Python and software engineering skills (testing, CI/CD, debugging, version control).
- Experience building APIs, backend systems, or application platforms.
- Familiarity with cloud platforms and MLOps/LLMOps (deployment, monitoring, governance).
- Strong communication and stakeholder engagement skills.
- Experience with H2O products.
- Full-stack AI application development experience.
- Model governance, monitoring, and responsible AI experience.
- Hackathon / workshop / enablement experience.
- Kaggle, open source, blogs, or conference contributions.
- Market Leader in Total Rewards
- Remote-Friendly Culture
- Flexible working environment
- Be part of a world-class team
- Career Growth
Qualifications
- 5+ years of experience in AI or machine learning roles
- Strong foundation in machine learning
Nice to have
- Experience with H2O products
- Full-stack AI application development
Benefits
- Remote-Friendly Culture
- Flexible working environment