Language Model Scientist

L&T Technology Services; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

L&T Technology Services seeks a Language Model Scientist in Santa Clara to advance generative AI across the enterprise. You will tune LLMs, design agentic systems, and build guardrails, evaluating bias, safety and reliability.

You will deploy scalable models with cost-aware optimization and collaborate with multiple businesses to deliver high-value GenAI solutions. Ideal candidates hold a Master’s or PhD in CS/AI/NLP with 8–15 years of ML/NLP experience, including hands-on LLM work and

Qualifications

• Master's or PhD in CS/AI/NLP with PhD preferred.
• 8–15 years in ML/NLP, including 3+ years hands-on with LLMs.
• Track record deploying LLM apps in production at enterprise scale.
• Deep knowledge of transformer architectures, pre-training, fine-tuning, alignment.
• Strong Python with PyTorch, Hugging Face, DeepSpeed/FSDP and LLM tools.

Responsibilities

• Fine-tune and align LLMs for domain tasks across engineering specs and contracts.
• Design agentic systems with tool use, planning, memory and multi-agent orchestration.
• Build evaluation, guardrail and red-teaming frameworks for safety and bias.
• Deploy and scale LLMs in production with monitoring and cost optimization.
• Partner with Engineering, Manufacturing, Infrastructure, and other domains on GenAI use cases.

Skills

LLM fine-tuning

RLHF

Agentic AI design

Evaluation frameworks

Cost optimization

Education

Master's or PhD in CS/AI/NLP (PhD preferred)

Tools

LangChain

LlamaIndex

LangGraph

PyTorch

DeepSpeed

Hugging Face

Vector databases

Knowledge graphs

MCP

function calling

Job description

We're hiring a Language Model Scientist in Santa Clara, California, to join L&T's AI Center of Excellence. You'll build the generative and agentic AI systems that power knowledge, engineering and operations across the L&T Group, turning foundation-model capabilities into secure, reliable and domain-aware solutions: copilots, AI agents, enterprise knowledge systems and natural-language interfaces to engineering and physical systems.

What you'll do

• Fine-tune and align open-source and commercial LLMs (SFT, LoRA/PEFT, RLHF, DPO) for domain tasks such as engineering specifications, contracts, standards and code.
• Design agentic systems with tool use, planning, memory and multi-agent orchestration, plus RAG and knowledge-graph systems over enterprise data.
• Build evaluation, guardrail and red-teaming frameworks covering accuracy, hallucination, bias and safety.
• Deploy and scale LLMs in production (vLLM, TensorRT-LLM, quantization), with monitoring and inference cost optimization across cloud and on-premise.
• Partner with businesses in Engineering, Manufacturing, Infrastructure, Energy, Financial Services, IT Services and Defence to deliver high-value GenAI use cases.

First 12 months

• Enterprise LLM and agentic AI reference architecture defined for the CoE.
• 5–8 GenAI and agentic use cases delivered, at least 3 scaled to production.
• At least one domain-adapted language model developed.
• LLM evaluation, guardrail and LLMOps framework established.

What we're looking for

• Master's or PhD in Computer Science, AI, NLP, Computational Linguistics or a related field (PhD preferred).
• 8–15 years in ML or NLP, including 3+ years of hands‑on work with LLMs and Generative AI.
• A track record of building and deploying LLM applications in production at enterprise scale.
• Deep knowledge of transformer architectures, pre‑training, fine‑tuning and alignment.
• Strong Python with PyTorch, Hugging Face, DeepSpeed/FSDP and LLM frameworks such as LangChain, LlamaIndex or LangGraph.
• Experience with vector databases, knowledge graphs, Model Context Protocol (MCP) and function calling.

Plus: engineering, industrial or regulated-domain experience, and publications at ACL, EMNLP, NAACL, NeurIPS, ICML or ICLR.

Role details: Reports to the Head, AI Center of Excellence. Headcount: 3. Scope: L&T Group-wide, United States and India.