Bloom Energy
Agentic AI Solutions Engineer
- Location
- Mumbai
- Work mode
- Onsite
- Experience
- 2–4 yrs exp
- Pay
- ₹15–25 LPA (Est.)
- Type
- Full-time job, AI & ML
- Added
- 15 November 2026
- Apply by
- 30 November 2026
About this role
Bloom Energy makes fuel-cell-based Energy Servers that supply always-on clean power, and this role sits in the Services Business Intelligence team, reporting to the Business Intelligence Manager. The engineer builds AI and ML solutions for the service business, including agentic workflows, RAG pipelines and multi-agent systems on enterprise LLMs such as AWS Bedrock. The work also covers data connectors, vector databases and knowledge graphs, and ML models for predictive maintenance, anomaly detection and forecasting. Part of the job is turning operational problems into AI solutions with cross-functional teams and documenting designs for production handoff. It suits engineers with 2–4 years of hands-on production AI/ML experience and strong Python and SQL skills.
Bloom Energy is hiring for Agentic AI Solutions Engineer, a full-time role based in Mumbai (onsite).
Who can apply: 2–4 yrs exp. Skills: Python, SQL, LLMs, RAG, LangGraph / CrewAI, AWS.
Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.
What you'll do
- Design and build agentic AI workflows and multi-agent systems using frameworks like LangGraph or CrewAI
- Develop RAG pipelines grounded in enterprise data with citations and confidence scoring
- Build data connectors, pipelines, vector databases and knowledge graphs across operational systems
- Build and deploy ML models for predictive maintenance, anomaly detection and forecasting
- Create automated reports, dashboards and self-service analytics tools
- Document architecture and solution designs and work with cross-functional teams and vendors
What you need
- BA/BS/MA in Computer Engineering, Computer Science, Data Science or equivalent
- 2–4 years of hands-on experience building AI/ML solutions in production or near-production
- Strong production-grade Python and strong SQL with relational databases and data warehouses
- Experience with LLMs and generative AI such as prompt engineering, RAG or agentic workflows, plus an agentic framework like LangChain or CrewAI
- Cloud platform experience (AWS strongly preferred) and understanding of data modeling and ETL/ELT pipelines
- Strong communication skills for explaining technical concepts to non-technical stakeholders
Skills
- Python
- SQL
- LLMs
- RAG
- LangGraph / CrewAI
- AWS
"Est." = Hirastra's estimate based on market data, not an official figure.
All Bloom Energy jobs and internships
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