Job Summary :

We are seeking an experienced AI/ML Engineer with a solid foundation in Machine learning, Artificial Intelligence and at least one year of hands-on experience in Generative AI.

The ideal candidate will have strong proficiency in Python, LLM Models, and emerging techniques such as Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic AI systems.

You will be responsible for building innovative solutions leveraging the latest in AI technology to solve real-world problems.

Key Responsibilities :

- Design, develop, and deploy AI/ML solutions with an emphasis on generative models and LLMs.

- Implement and optimize RAG pipelines for knowledge-aware AI systems.

- Fine-tune and customize models (e.g., LLaMA, Mistral, GPT, etc.) for specific domains or applications.

- Build and manage agentic AI systems capable of autonomous planning and decision-making.

- Work closely with cross-functional teams to identify use cases and deliver scalable AI-powered features.

- Stay up-to-date with the latest developments in AI/ML and contribute to internal knowledge sharing.

Required Skills & Qualifications :

- 2+ years of experience in AI/ML development.

- Minimum 1 year of hands-on experience in Generative AI projects.

- Proficient in Python and common ML libraries (e.g., PyTorch, scikit-learn).

- Strong understanding of Large Language Models (LLMs) and transformer architectures.

- Experience building RAG pipelines and integrating vector search systems.

- Hands-on experience with model fine-tuning using LoRA, PEFT, or Hugging Face Transformers.

- Experience developing agentic AI systems using frameworks like LangChain, AutoGen, or custom orchestration logic.

- Experience on working with cloud platforms

Tools & Technologies :

- Frameworks & Libraries : LangChain, LlamaIndex, AutoGen, PyTorch, TensorFlow

- Model Providers : OpenAI, Anthropic, Llama, Mistral

- Vector Stores : FAISS, Pinecone, Milvus

- APIs & Services : REST, GraphQL

- DevOps & Infra : Docker, AWS/GCP/Azure