AI Engineer (Chennai)

AI Engineer (Chennai)

16 Oct
|
L & T Case Equipment Private
|
Chennai

16 Oct

L & T Case Equipment Private

Chennai

LNT/AE-G/1896643

• DC-Divisional Corporate
• Chennai Head Qrs.
• Posted On15 Oct 2026
• End Date13 Apr 2027
• Required Experience10 - 20 years

Skills

Knowledge & Posting Location

Artificial Intelligence

Minimum Qualification

Bachelor of Engineering (BE)

Job Description

Job Title: Applied Research Engineer, AI (EPC & Manufacturing) Focus areas : Edge AI, Agentic AI Location: Chennai, Tamil Nadu Job Summary: You'll lead applied research in creating and optimizing small language models (SLMs) and derived models for range of use cases cutting across both structured and unstructured data – for edge AI deployment, powering agentic systems, digital threads, and highly contextual knowledge graphs. Focus on real-world EPC/manufacturing scenarios like autonomous workflow orchestration, connected operations, and aimed at taking digital transformation in these sectors to the next generation of technologies and with breakthrough impact. Key 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.
• Pro

📌 AI Engineer (Chennai)
🏢 L & T Case Equipment Private
📍 Chennai

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