Larsen & Toubro (L&T) Off Campus Drive 2026 | GenAI Trainee

Larsen & Toubro (L&T) has opened an opportunity for early-career technology professionals for the position of GenAI Trainee. The position is associated with the DEIC – L&T Precision Engineering & Systems IC and is based at the L&T Innovation Campus, Powai, Mumbai. The advertised experience range is 0–2 years, making the opportunity relevant to fresh graduates as well as candidates with limited professional experience. Available job information identifies Machine Learning, Artificial Intelligence and Computer Vision among the key areas for the role.

Candidates interested in this position should verify all details, including qualifications and application status, on the official L&T careers portal before applying.

1) Job Summary

Company: Larsen & Toubro (L&T)
Position: GenAI Trainee
Job ID: LNT/GT/1820286
Business Unit: DEIC – L&T Precision Engineering & Systems IC
Location: L&T Innovation Campus, Powai, Mumbai
Experience: 0–2 years
Qualification: B.Tech / M.Tech
Key areas: Artificial Intelligence, Machine Learning, Computer Vision and Generative AI
Job type: Full-time
Application deadline listed in available job sources: 9 February 2027

The salary or CTC is not specified in the accessible official listing, so candidates should not rely on salary figures published by third-party websites unless confirmed by L&T.

2) Job Description

The GenAI Trainee position is aimed at candidates who want to build practical experience in Artificial Intelligence and related technologies. The role can involve supporting technical teams in developing, testing, evaluating and integrating AI-based solutions.

Typical responsibilities associated with the advertised position include working with structured and unstructured datasets, data cleaning and preprocessing, feature engineering, model development and evaluation. Candidates may also contribute to machine learning and deep learning projects and assist with testing, benchmarking and documenting models.

The role has a strong connection to emerging AI technologies. Depending on project requirements and individual skills, work may involve Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, deep learning and AI-powered applications.

Computer Vision is another important area highlighted for this opportunity. Candidates with exposure to technologies such as image processing, object detection, OCR or frameworks such as OpenCV, TensorFlow or PyTorch may find their background relevant.

The position may also provide opportunities to participate in proof-of-concept development, research-oriented initiatives, AI solution integration, technical documentation and collaboration with software, data and engineering teams.

Because this is a trainee-level position, candidates should focus not only on existing technical knowledge but also on their ability to learn new technologies and solve unfamiliar problems.

3) Eligibility Criteria

Candidates should carefully check the official vacancy before applying. Available information indicates the following broad requirements:

B.Tech/B.E. or M.Tech/M.E. qualification, depending on the applicable listing criteria.
0–2 years of relevant experience.
Knowledge or practical exposure to Artificial Intelligence and Machine Learning.
Interest or knowledge in Computer Vision.
Good programming and analytical fundamentals.
Willingness to learn emerging AI technologies.
Ability to work collaboratively with technical teams.

Who Should Apply?

This opportunity may be suitable for:

Recent B.Tech/B.E. or M.Tech/M.E. graduates interested in AI.
Candidates with 0–2 years of experience in AI/ML, data science or related areas.
Applicants who have completed academic or personal projects involving Python, machine learning or deep learning.
Candidates interested in Generative AI, LLMs, RAG or Computer Vision.
Applicants who enjoy experimentation, problem-solving and learning new technologies.

Who May Not Be a Good Fit?

The role may be less suitable for candidates who:

Do not have the required educational qualification.
Have little interest in Artificial Intelligence or related technologies.
Prefer roles with minimal technical or programming work.
Are unwilling to work from the specified location or follow the role’s work requirements.
Expect the position to be limited to basic administrative or non-technical trainee responsibilities.

4) What Should Be Highlighted in the Resume?

Candidates should keep their resumes concise and focus on evidence of relevant skills.

Important areas to highlight include:

Technical skills: Python, Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision and relevant AI frameworks.

Generative AI: If applicable, mention LLM projects, prompt engineering, RAG, vector databases, chatbot development, fine-tuning or AI application development.

Projects: Academic, personal, internship or freelance projects are valuable, particularly when they demonstrate an end-to-end solution.

Instead of simply writing “Machine Learning,” explain what you built, which dataset or problem you addressed, which techniques you used and what result you achieved.

Candidates should also mention internships, certifications, hackathons, research work, GitHub projects and relevant coursework where applicable.

5) What Candidates Should Expect During the Recruitment Process?

L&T has not publicly specified a single fixed selection sequence for this particular vacancy in the accessible listing. Therefore, candidates should not assume that every applicant will follow exactly the same process.

A technology-oriented recruitment process may include some combination of:

Application and resume screening
Initial assessment or technical screening, where applicable
Technical interview
Discussion with the hiring team
HR or behavioural discussion
Final selection and documentation

Candidates should prepare for questions covering Python, machine learning fundamentals, data preprocessing, model evaluation, deep learning and their own projects. Those mentioning GenAI or Computer Vision on their resumes should also be prepared to explain those projects clearly.

Most importantly, candidates should be able to explain their projects rather than merely listing technologies.

6) About the Company

Larsen & Toubro (L&T) is an Indian multinational engaged in EPC projects, high-tech manufacturing and services. The company operates across more than 50 countries and has a presence across major engineering and technology sectors. L&T describes its capabilities as spanning the “design to delivery” spectrum.

Its businesses include construction, energy-related activities, heavy engineering, precision engineering, technology services, financial services, real estate and several emerging technology-oriented businesses.

7) Why Join L&T?

L&T can be an attractive workplace for candidates interested in combining technology with large-scale engineering and business applications.

The company’s careers information highlights opportunities for learning, leadership development and professional growth. L&T says learning and development is an integral part of its organisational culture and reports substantial training and learning activity across its workforce.

For an AI-focused trainee, the opportunity to work within a large engineering and technology organisation can provide exposure to multidisciplinary teams and practical business problems.

Candidates should, however, evaluate the role based on their own career goals, technical interests, location preferences and the responsibilities communicated during the recruitment process.

8) Frequently Asked Questions (FAQ)

Q1. What is the role offered by L&T?
The position is GenAI Trainee, associated with DEIC – L&T Precision Engineering & Systems IC.

Q2. What is the L&T GenAI Trainee job ID?
The job ID is LNT/GT/1820286.

Q3. What qualification is required?
Available job information indicates B.Tech/B.E. or M.Tech/M.E. qualifications. Candidates should verify the exact qualification criteria on the official application page.

Q4. How much experience is required?
The advertised experience range is 0–2 years, making it relevant to freshers and early-career candidates.

Q5. Where is the job located?
The position is based at the L&T Innovation Campus, Powai, Mumbai.

Q6. What skills are useful for this position?
Machine Learning, Artificial Intelligence and Computer Vision are among the key areas. Knowledge of Generative AI, deep learning, Python, LLMs, RAG and related technologies can also be useful.

Q7. Is the salary disclosed?
The accessible official information does not provide a specific salary or CTC. Candidates should verify compensation details directly with L&T during the recruitment process.

Q8. Where should candidates apply?
Candidates should apply through the official L&T recruitment listing supplied with this job post and verify the job ID before submitting their application.

The Apply link is available in the “How to Apply?” section.

Q9. Does L&T charge candidates for recruitment?
No. L&T explicitly warns candidates that it does not ask candidates for money at any stage of recruitment. Applicants should be cautious of anyone requesting interview fees, security deposits or other payments.

Q10. What should candidates do before applying?
Review the official vacancy carefully, ensure that the qualification and experience requirements are satisfied, update the resume with relevant AI/ML projects and submit accurate information through the official recruitment channel.

How to Apply?

Interested candidates meeting the eligibility criteria have to apply at the following link: