AI Engineer (Agentic / Gen AI)
L&T Technology Services Limited (company site, opens in a new tab)10–20 yrsChennaiOn-siteDirect career pageEst. 35–60 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead applied research to create and optimize small language models (SLMs) for edge AI in EPC/manufacturing sectors, focusing on autonomous workflows and connected operations.
- Design and deploy agentic AI frameworks for autonomous decision-making and multi-agent orchestration in real-world manufacturing/construction scenarios.
- Develop and integrate digital threads, knowledge graphs, and edge AI solutions for real-time site intelligence, IoT sensor fusion, and anomaly detection.
Minimum Requirements
- Master's or PhD in AI/ML, Computer Science, or related field (or equivalent experience).
- 4+ years of applied AI experience with hands-on work in building/training SLMs or derived models (e.g., LoRA/PEFT, distillation).
- Proven expertise in edge AI deployment including quantization techniques (AWQ/GPTQ) and platforms like NVIDIA Jetson or ARM-based inference.
- Experience with agentic AI tools (e.g., LangChain, AutoGen), Neo4j for knowledge graphs, plus familiarity with digital threads in manufacturing/EPC contexts (PLM, BIM, IIoT).
Ideal Candidate Profile
- Experienced AI engineer with domain bias towards EPC/manufacturing digital transformation and edge AI applications.
- Technical leader skilled in advanced SLM tuning, low-latency inference optimization, and scalable MLOps deployment (e.g., Kubernetes, TensorRT, ONNX).
- Candidate comfortable working on complex integrated AI systems combining natural language models, knowledge graphs, multi-agent orchestration, and real-time edge analytics in industrial environments.