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Hero MotoCorp

Full Stack AI Engineer

Jaipur · Executive

Expect moderate competitionVerified listingPosted 21d ago

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97Experience

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Skills required

33 listed
CI/CDLarge Language Models (LLMs)Research And DevelopmentApplied PhysicsDigital TechnologyEmbedded SoftwareScientific ComputingRelational Databases+25 more
CI/CDLarge Language Models (LLMs)Research And DevelopmentApplied PhysicsDigital Technology

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Job description

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 modern 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 warehousing and data modeling concepts
Experience with data visualization tools (e.g. Tableau, Power BI, D3.js)
Knowledge of data pipeline and workflow management tools, and CI/CD pipelines
Solid understanding of software engineering principles, system architecture, and production deployment of ML models
Exposure to large language model (LLM) evaluation, prompting, and agent-orchestration frameworks
Experience with version control systems (e.g. Git)
Excellent problem-solving skills and ability to work across disparate domains (physics, AI, data engineering, software)

Behavioural Skills

Strong communication skills — able to translate technical work for non-specialist stakeholders
Strong sense of ownership and self-direction, comfortable operating with start-up-level pace within a larger organisation

What will it be like to work for Hero

As the world’s largest manufacturer of motorcycles and scooters for the last 25 years, Hero is where you will get to work with the brightest innovators, passionate about being the best in what they do. You will become a part of India’s proudest legacy, a brand that is celebrated by 130 million Indians and is now taking over the world with its manufacturing superpower.

If you are someone who dreams big and goes after their dreams with absolute conviction, Hero is your place to be. At Hero, we are building a cutting-edge future of mobility, pushing frontiers of innovation and aiming for the very best. Choose to be with the best, choose to be your best.

About Hero

Hero MotoCorp, headquartered in New Delhi, India, is the world's largest manufacturer of motorcycles and scooters for 25 consecutive years with ~$5 billion revenue. The Company's global footprint spans 52 countries across Asia, Africa, Europe, Central and Latin America with a customer base of over 130 million. The Company operates eight manufacturing facilities - six in India and one each in Colombia and Bangladesh- along with two Research and Development centres: Centre for Innovation and Technology (CIT) in India and Tech Centre Germany (TCG).
Hero MotoCorp is driving the transition to electric mobility through VIDA, powered by Hero.

Strategic alliances with Harley-Davidson and Zero Motorcycles support the design and development of premium and electric motorcycles, respectively. Further demonstrating its commitment to the EV future, the Company has made strategic investments in two- and three-wheeler EV manufacturers, Ather Energy and Euler Motors. Hero MotoCorp is the only Indian two-wheeler manufacturer listed on the prestigious Dow Jones Sustainability Index (D/SI).

Hero MotoCorp's Executive Chairman, Dr. Pawan Munjal, was named to the 2025 TIME100 Climate List of the 100 most influential leaders driving business climate action.

Beyond mobility, Hero MotoCorp is a major global promoter of sports, including golf, football, field hockey, and cricket. Hero MotoSports Team Rally is India's flag bearer in global rally racing.

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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