Full Stack AI Engineer (India)

Full Stack AI Engineer (India)

02 Oct
|
Hero MotoCorp
|
India

02 Oct

Hero MotoCorp

India

Function

Research & Development - Jaipur

Pay Band

E4 to M2

Role

Full Stack AI Engineer

A purpose driven role for you

Design, develop, and deploy full-stack AI/ML applications end-to-end — from data pipelines and backend services to user-facing interfaces.
Apply physics-informed AI methods (e.g. Physics-Informed Neural Networks) and contemporary ML techniques to model and optimize complex physical and engineering systems.
Architect and build agentic GenAI systems (multi-agent LLM pipelines) integrated with backend services and APIs to automate complex workflows.
Design and maintain data pipelines, ETL processes, and data models to support AI/ML systems and business analytics.
Collaborate with Digital Technology, embedded software, and business teams to translate research into deployable, production-grade full-stack applications delivered on time and to quality standards.

A Day in the life

Full-Stack AI/ML Application Development
Agentic GenAI & Backend Systems
Data Engineering & Analytics Support

Academic Qualification & Experience





BE/B-Tech in Computer Science or a related technical field. A Master's degree (M-Tech/MS) is preferred but not mandatory.

Technical Skills/Knowledge

Strong full-stack development skills: backend (Python/Node/Java), REST/GraphQL APIs, and frontend frameworks (e.g. React)

Exposure to physics-informed AI methods (e.g. Physics-Informed Neural Networks/PINNs) for modeling physical and engineering systems

Experience designing multi-agent GenAI/LLM pipelines (e.g. LangGraph) including retrieval (vector search), knowledge graphs, and rule-engine integration
Strong programming skills in Python; experience with ML and scientific computing libraries

Strong proficiency in SQL and experience with relational databases (e.g. PostgreSQL, MySQL)
Experience with big data technologies such as Hadoop, Spark, and Kafka

Experience with cloud platforms (e.g. AWS, GCP, Azure) and data services (e.g. Snowflake, Databricks)
Familiarity with data warehous

📌 Full Stack AI Engineer (India)
🏢 Hero MotoCorp
📍 India

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