
Senior AI Engineer
15 hours ago
Location: Mumbai – Lower Parel
Experience: 2+ Years
Notice Period: Immediate or 15days
Key Responsibilities:
- Lead the end-to-end development of Generative AI solutions with a strong focus on LLMs, RAG, and Deep Learning.
- Manage and mentor a team of AI/ML engineers, provide technical leadership, and ensure best engineering practices.
- Collaborate directly with international clients, gather requirements, present solutions, and ensure alignment with business goals.
- Architect scalable Retrieval-Augmented Generation (RAG) systems using frameworks like
Langchain, LlamaIndex, Langraph
, and implement advanced embedding techniques. - Drive pre-training, fine-tuning, and deployment of LLMs (e.g., GPT, LLaMA, Falcon) in real-world use cases.
- Build robust backend APIs using FastAPI, Flask, and integrate with GenAI services at scale.
- Lead the design of vector search solutions, prompt engineering, and context store development.
- Stay updated with the latest in GenAI research and incorporate best practices into production-level solutions.
Mandatory Skills & Expertise:
- 2+ years of experience in AI/ML, with Generative AI and LLM applications.
- Proven experience managing small to mid-sized technical teams, conducting performance reviews, and enabling growth.
- Prior experience working with international clients, managing expectations, and communicating complex AI concepts to non-technical stakeholders.
- Expertise in RAG frameworks (
Langchain, LlamaIndex, Langraph
) and vector databases (Pinecone, Faiss, Waviate). - Strong command of Python and AI/ML libraries like PyTorch, TensorFlow, Transformers, Streamlit.
- Hands-on experience in prompt engineering, in-context learning, and embedding search pipelines.
- Deep understanding of transformer models, model optimization, feature engineering, and data curation.
- Experience in building scalable GenAI APIs and services using REST, FastAPI, and containerized environments.
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