Full Stack AI Engineer role at Hero MotoCorp in Jaipur, Rajasthan. This is a full-time, on-site position at the company's R&D centre.

The listing was posted on 27 Oct 2026 on Hero MotoCorp's careers site, in the Emerging Mobility Business Unit's R&D organisation.

About Hero MotoCorp

Hero MotoCorp describes itself on its careers site as the world's largest manufacturer of motorcycles and scooters, a position it has held for 25 consecutive years, with about 130 million customers across 52 countries. Its global R&D hub, the Centre of Innovation and Technology (CIT), is in Jaipur, and that is where this role sits.

The role in plain terms

This is end-to-end AI application work inside an automotive R&D centre: you design and ship full-stack AI/ML applications, from data pipelines and backend services to user interfaces. The distinctive parts are physics-informed AI (modeling engineering systems with methods like PINNs) and agentic GenAI (multi-agent LLM pipelines wired into backend services), alongside the data engineering that feeds them.

What the employer asks for

These requirements are quoted or closely condensed from the employer's listing so the details are not distorted:

BE/B.Tech in Computer Science or a related technical field; a Master's (M.Tech/MS) is preferred but not mandatory.
Full-stack development skills: backend in Python, Node or Java, REST/GraphQL APIs, and a frontend framework such as React.
Exposure to physics-informed AI methods such as Physics-Informed Neural Networks (PINNs).
Experience designing multi-agent GenAI/LLM pipelines (for example LangGraph), including retrieval, knowledge graphs and rule-engine integration.
Strong SQL and relational databases, plus big data technologies such as Hadoop, Spark and Kafka.
Cloud platforms (AWS, GCP or Azure) and data services such as Snowflake or Databricks.
CI/CD, version control, and production deployment of ML models.

Who this role suits

This suits a full-stack engineer who has moved into applied AI and wants an industrial problem set: the physics-informed modeling angle makes it unusual among GenAI roles, and it fits someone comfortable spanning Python backends, data pipelines and LLM orchestration rather than a pure ML researcher. The listing sets no years-of-experience bar, but the breadth of the stack it names reads as an experienced engineer.

Practical notes

The listing names an internal pay band (E4 to M2) rather than a salary figure. The skills list is long; in interviews it is more credible to go deep on two or three systems you actually built (one LLM pipeline, one data pipeline, one deployed model) than to claim the whole list. Expect questions on how you would apply ML to a physical engineering system, since that is the team's stated focus.

How to apply

Apply on Hero MotoCorp's own careers site: Full Stack AI Engineer at Hero MotoCorp. This listing comes from the employer's official careers portal (jobs.heromotocorp.com), where it was posted on 27 Oct 2026 and was still open when we checked on 31 Oct 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. Never pay a fee to apply or interview; a genuine hiring process does not charge candidates.

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