Senior Artificial Intelligence Engineer - LLM/RAG

Contractual Role (12 Month Contract)

We are looking for an experienced AI Engineer specializing in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to develop and optimize AI-driven applications.

The ideal candidate will have hands-on experience in deploying, fine-tuning, and integrating LLMs with RAG architectures to enhance the efficiency and accuracy of AI-powered solutions.

Responsibilities :

- Design, develop, and optimize AI solutions using LLMs (e.g., GPT-4, LLaMA, Falcon) and RAG frameworks.

- Implement and fine-tune models to improve response relevance and contextual accuracy.

- Develop pipelines for data retrieval, indexing, and augmentation to improve knowledge grounding.

- Work with vector databases (e.g., Pinecone, FAISS, Weaviate) to enhance retrieval capabilities.

- Integrate AI models with enterprise applications and APIs.

- Optimize model inference for performance and scalability.

- Collaborate with data scientists, ML engineers, and software developers to align AI models with business objectives.

- Ensure ethical AI implementation, addressing bias, explainability, and data security.

- Stay updated with the latest advancements in generative AI, deep learning, and RAG techniques.

Requirements :

- 8+ years experience in software development according to development standards;

- Strong experience in training and deploying LLMs using frameworks like Hugging Face Transformers, OpenAI API, or LangChain.

- Proficiency in Retrieval-Augmented Generation (RAG) techniques and vector search methodologies.

- Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate.

- Solid understanding of NLP, deep learning, and transformer architectures.

- Proficiency in Python and ML libraries (TensorFlow, PyTorch, LangChain, etc.)

- Experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows.

- Familiarity with containerization (Docker, Kubernetes) for scalable AI deployments.

- Strong problem-solving and debugging skills.

- Excellent communication and teamwork abilities.

- Bachelor's or Masters degree in computer science, AI, Machine Learning, or a related field.

Job Type & Work hours :

Full-time, Permanent.

Hybrid (23 days/week) from Airoli, Navi Mumbai.

Monday to Friday.

Benefits :

- Help shape a brand-new offering that bridges offline retail with online presence.

- Be a foundational team member alongside Product and QA.

- Gain experience in scaling an operationally heavy, customer-focused tech service.

- Competitive compensation, supportive team, and flexible work model.