LLM Model Developer

**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 (LLMs)
**Good to have skills :**NA
Minimum 5 year(s) of experience is required
**Educational Qualification :**15 years full time education

Summary:
As 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-solving

• Ability to work independently and as part of a collaborative team. Able to coach junior team

• 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.

  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