Large Language Model Architect – 18 years

HypTechie; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Job summary

HypTechie in Pune, India, is seeking a Senior Large Language Model Architect to lead the design and development of cutting-edge NLP systems. You will shape next-generation AI solutions by building scalable LLMs trained on large datasets.

This senior role demands deep expertise in neural networks, strong Python skills, and leadership to guide cross-functional teams. You will mentor engineers and collaborate with data scientists to deliver impactful AI applications.

Qualifications

• Proven expertise in Large Language Models (e.g., GPT, BERT, T5, LLaMA)
• Deep knowledge of neural network architectures for NLP
• Extensive experience training and fine-tuning LLMs on large datasets
• Proficient in Python with TensorFlow, PyTorch, or Hugging Face

Responsibilities

• Architect and design large language models for advanced NLP tasks.
• Define and optimize neural network parameters to train models on large-scale unlabeled text datasets.
• Collaborate with data scientists, ML engineers, and domain experts to align model architecture with business needs.
• Evaluate model performance using statistical and ML metrics, and iterate for improvements.
• Provide strategic technical guidance across teams, driving NLP and LLM development.
• Mentor and guide junior professionals in AI, deep learning, and natural language processing.

Skills

Large Language Models

Python

TensorFlow

PyTorch

Hugging Face

Model Evaluation

Leadership

Education

15 Years Full-Time Education

Job description

Location: Pune, India

Experience Required: Minimum 18 Years

Education: 15 Years Full-Time Education

Employment Type: Full-Time

Job ID: ATCI-5145178-S1899054

Required Skill: Large Language Models

About the Role

We are seeking a Large Language Model (LLM) Architect to lead the design and development of cutting-edge language models that process, understand, and generate human-like natural language. In this senior role, you will apply your deep expertise in neural network architectures and NLP to shape next-generation AI solutions. This is an opportunity to work at the forefront of AI innovation — building scalable LLM systems trained on vast datasets and delivering impactful solutions across industries.

Key Responsibilities

• Architect and design large language models capable of advanced natural language understanding and generation.


• Define and optimize neural network parameters to train models on large-scale unlabeled text datasets.


• Collaborate with cross-functional teams including data scientists, ML engineers, and domain experts to align model architecture with business needs.


• Evaluate model performance using rigorous statistical and machine learning metrics, and iterate for continuous improvement.


• Provide strategic technical guidance across teams, driving innovation and best practices in NLP and LLM development.


• Mentor and guide junior professionals in the areas of AI, deep learning, and natural language processing.

Required Skills & Qualifications

• Proven expertise in Large Language Models (e.g., GPT, BERT, T5, LLaMA, etc.)


• Deep knowledge of neural network architectures and their application in natural language processing


• Extensive experience in training and fine-tuning LLMs on diverse and large-scale datasets


• Proficient in Python, with hands‑on experience using TensorFlow, PyTorch, Hugging Face, or similar frameworks


• Strong ability to interpret and optimize model performance metrics


• Excellent communication, collaboration, and leadership skills

Good to Have

• Exposure to prompt engineering, reinforcement learning from human feedback (RLHF), or retrieval‑augmented generation (RAG)


• Experience with model deployment in cloud or edge environments


• Familiarity with data governance and ethical AI principles

Why Join Us

• Lead high‑impact AI initiatives with global relevance


• Be part of a collaborative and forward‑thinking team


• Work in an environment that encourages innovation, research, and continuous learning


• Competitive compensation and benefits