Job
Description
About The Role
Project Role LLM Model Developer
Project Role Description Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts.
Must have skills Large Language Models
Good to have skills NA
Minimum 5 year(s) of experience is required
Educational Qualification 15 years full time education
SummaryAs a GenAI Engineer, you will design, develop, and deploy AI solutions that leverage both traditional machine learning and modern generative AI techniques. You will combine foundational ML engineering fundamentals with a growing expertise in large language models (LLMs), retrieval-augmented generation (RAG), and orchestration frameworks to build scalable, production-ready AI applications. This role bridges applied machine learning with cutting-edge GenAI innovation, while offering opportunities for growth and learning.
Roles & Responsibilities:
Design and implement applications powered by LLMs, multimodal models, and generative architectures.Fine-tune foundation models (e.g., with LoRA, PEFT) for domain-specific use cases.Build retrieval-augmented generation pipelines using vector databases (FAISS, Pinecone, Weaviate).Integrate APIs and frameworks (LangChain, LlamaIndex, Semantic Kernel) into production systems.Develop and deploy predictive ML models using frameworks such as 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 inf©rence performance (quantization, distillation, GPU/accelerator usage).Design evaluation frameworks for both predictive and generative models (accuracy, fairness, hallucination detection, 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.
Professional & Technical Skills: AWS, Foundation Models, Evaluation, LLM Prompting, RAG, Vectordatabases, Python, Agentic, ML frameworks (LangChain, PyTorch, Scikit-learn), DevOps tools (Docker, Kubernetes)Strong analytical skills and a proactive approach to problem-solvingAbility to work independently and as part of a collaborative team. Able to coach junior teamStrong analytical skills and a proactive approach to problem-solvingAbility to work independently and as part of a collaborative team. Able to coach junior team members.
Additional Information: The candidate should have minimum 5 years of experience in Large Language Models.This position is based at our Pune office.A 15 years full time education is required.
Qualification 15 years full time education
