LLM Model Developer

Overview

As an LLM Model Developer and GenAI Engineer, design, develop, and deploy scalable, production-ready AI solutions using traditional machine learning and generative AI techniques. Fine-tune Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts.

What you'll do

• Design and implement applications powered by LLMs, multimodal models, and generative architectures.
• Fine-tune foundation models, including with LoRA and PEFT, for domain-specific use cases.
• Build retrieval-augmented generation pipelines using vector databases such as FAISS, Pinecone, and Weaviate.
• Integrate APIs and frameworks including LangChain, LlamaIndex, and Semantic Kernel into production systems.
• Develop and deploy predictive ML models using PyTorch, TensorFlow, and Scikit-learn.
• Build and maintain scalable data pipelines in collaboration with data engineers.
• Apply DevOps/MLOps practices for automation, monitoring, CI/CD, and model retraining.
• Optimize inference performance using quantization, distillation, and GPU/accelerator usage.
• Design evaluation frameworks for predictive and generative models, including accuracy, fairness, hallucination detection, and grounding.
• Implement monitoring systems for live models to ensure reliability and continuous improvement.
• Work with cross-functional teams to align AI solutions with business goals and technical requirements.
• Communicate complex ML/GenAI concepts effectively to non-technical stakeholders.

What you'll need

• Minimum 5 year(s) of experience is required.
• Minimum 5 years of experience in Large Language Models.
• 15 years full time education.
• Large Language Models (LLMs).
• AWS, Foundation Models, Evaluation, LLM Prompting, RAG, Vectordatabases, Python, and Agentic.
• ML frameworks including LangChain, PyTorch, and Scikit-learn.
• DevOps tools including Docker and Kubernetes.
• Strong analytical skills and a proactive approach to problem-solving.
• Ability to work independently and as part of a collaborative team.
• Able to coach junior team members.

Details

• The position is based at the Pune office.