Gen AI Research Engineer

Valueadd Softtech And Systems Pvt Ltd

Job Location:

Pune - India

Monthly Salary: Not Disclosed

Posted on: 11 hours ago

Vacancies: 1 Vacancy

Job Summary

Experience: 38 years
Location: Pune
About the Role
We are looking for a highly skilled Generative AI Engineer with strong expertise in Large Language
Models (LLMs) model fine-tuning Reinforcement Learning (RL/RLHF) and RAG-based systems. The
ideal candidate must have a deep understanding of how LLMs work internally and proven hands-on
experience building customizing optimizing and deploying production-grade generative AI systems.
This role requires both strong research depth and production engineering experience.
Key Responsibilities
Design build and deploy LLM-powered applications in production.
Fine-tune open-source foundation models (LLaMA Mistral Falcon etc.) for domain-specific
use cases.
Implement parameter-efficient fine-tuning (LoRA QLoRA PEFT).
Develop and implement Reinforcement Learning pipelines including RLHF and PPO.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Design and implement AI agents and multi-step reasoning workflows.
Develop scalable training and inference pipelines using GPUs.
Benchmark evaluate and improve LLM performance.
Implement evaluation frameworks and model monitoring systems.
Collaborate cross-functionally to integrate AI into enterprise systems.
Required Skills & Qualifications (Must Have)
LLM & Generative AI Expertise
Deep understanding of Transformer architecture attention mechanisms embeddings and
tokenization.
Clear understanding of LLM training lifecycle:

o Pre-training

oSupervised Fine-Tuning (SFT)
o Alignment
o RLHF

Strong hands-on experience with:

o PyTorch
o Hugging Face Transformers
o Fine-tuning large language models
o LoRA / QLoRA / PEFT

Experience implementing Reinforcement Learning techniques

o PPO
o Policy gradients

o Reward modeling

Experience building RAG pipelines end-to-end.
Experience building AI agents / tool-using LLM systems.
Understanding of evaluation techniques for generative models.
Experience working with multi-modal models (text vision is a plus but preferred).
Strong Python programming skills.
Infrastructure & Deployment

Hands-on experience with GPU-based training and inference.
Experience with distributed training and mixed precision training.
Familiarity with Docker and Kubernetes.
Experience deploying models as APIs/services.
Experience with vector databases (FAISS Pinecone Weaviate).
Experience with cloud platforms (AWS / GCP / Azure).

What Were Looking For
Strong research-oriented mindset.
Ability to read and implement research papers.
Strong debugging and optimization skills.
Clear understanding of cost latency and scaling trade-offs.
Strong communication and ownership.

Experience: 38 years Location: Pune About the Role We are looking for a highly skilled Generative AI Engineer with strong expertise in Large Language Models (LLMs) model fine-tuning Reinforcement Learning (RL/RLHF) and RAG-based systems. The ideal candidate must have a deep understanding of how LLMs...