Larsen & Toubro
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Chennai · Hybrid · 1-3 Yrs · Oct 15
Construction · 10000+ Employees · Mumbai, India
Construction conglomerate Larsen & Toubro is committed to building a stronger India. Founded in 1938, the firm and its subsidiaries offer construction and engineering services related to commercial projects. Services include civil and electrical engineering and IT consulting. Larsen & Toubro also makes equipment and machinery used to build weaponry systems and infrastructure facilities including airports, oil and gas platforms, power plants, refineries, roads and bridges, and water treatment facilities. The firm has more than 60 units in some 30 countries. Domestic business within India dominates, but the company is steadily growing its global operations with a focus on China and the Middle East.
Hiring: Engineering
What employees say
+ great learning curve for freshers
− work life balance is not good
More reviews on the company profile.
Interview experience · Graduate Engineering Trainee GET
It was great interview easy, basic core questions and technical questions were asked. Interviewer were friendly and asked topic on field instruments and control systems and as such things and overall the experience was g
Average difficulty · Chennai · 1,341 reports
More interview insightsJob description
Overview
Job Title: Applied Research Engineer, AI (EPC & Manufacturing)
Responsibilities
- Design, train, and distill SLMs or derived models (e.g., from Llama/Mistral) for domain-specific tasks in EPC/manufacturing, with deeper context engineering and mature agentic AI workflows, optimizing for low-latency inference on edge devices for site level intelligence and predictability.
- Architect agentic AI frameworks that leverage SLMs for autonomous decision-making, such as multi-agent orchestration for construction sequencing or factory floor optimization.
- Build and integrate digital threads—end-to-end data pipelines linking design, procurement, construction, and operations—using SLMs for natural language querying and automation.
- Develop complex knowledge graphs to model intricate relationships in EPC ecosystems (e.g., asset hierarchies, supplier networks, regulatory compliance), enhanced by SLM-driven reasoning and graph RAG.
- Deploy edge AI solutions for real-time applications, including IoT sensor fusion, on-device anomaly detection, and federated learning in harsh manufacturing environments.
- Prototype and benchmark systems for scalability, collaborating on MLOps pipelines with tools like
- Conduct research on SLM fine-tuning, quantization, and agentic behaviors, documenting findings for internal adoption or publications.
Qualifications
- Master's or PhD in AI/ML, Computer Science, or related field (or equivalent experience).
- 4+ years in applied AI, with deep hands-on experience building/training SLMs or derived models
- Proven expertise in edge AI deployment (e.g., NVIDIA Jetson, ARM-based inference, quantization techniques like AWQ/GPTQ).
- Strong experience with agentic AI (e.g., LangChain, AutoGen) and Neo4j for complex knowledge graphs (Cypher queries, graph embeddings, graph algorithms).
- Familiarity with digital threads in manufacturing/EPC: PLM integration, BIM data flows, or IIoT protocols.
- Proficiency in PyTorch, Hugging Face Transformers, Neo4j, and edge frameworks (e.g., TensorFlow
Nice to have
- Experience in EPC/manufacturing domains: procurement-to-pay automation, digital twins, or supply chain graph analytics.
- Knowledge of federated learning, secure multi-party computation, or quantum-safe edge crypto.
- Contributions to open-source SLM/edge AI projects or relevant publications (e.g., ICML, NeurIPS workshops).
Verify Engineering for this role
Free PRACTICE for Engineering adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Engineering free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 25 October 2026
- How do I apply for AI Engineer (Agentic / Gen AI) at Larsen & Toubro?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Larsen & Toubro may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Engineer (Agentic / Gen AI) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Engineer (Agentic / Gen AI) remote or on-site in Chennai, Tamil Nadu?
- This listing is marked hybrid with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this AI Engineer (Agentic / Gen AI) role at Larsen & Toubro?
- This is a mid-level AI Engineer (Agentic / Gen AI) role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.