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AI Innovation Leader

3 weeks ago

Hyderabad, Telangana, India beBeeGenerative Full time ₹ 1,70,00,000 - ₹ 2,30,00,000
AI Innovation Leader

We're seeking a highly experienced Senior Generative AI Expert to lead the development and deployment of cutting-edge GenAI solutions.

Key Responsibilities:

  • Design and develop innovative GenAI applications using leading frameworks like LangChain and LlamaIndex.
  • Evaluate and integrate open-source and proprietary large language models (LLMs) based on project needs.
  • Build sophisticated agentic systems and retrieval-augmented generation (RAG) pipelines.
  • Collaborate with cross-functional teams to deploy AI models into production.
  • Fine-tune pre-trained language models on domain-specific tasks.
  • Drive research-to-production pipelines by implementing the latest advancements in LLMs, transformers, and embeddings.
  • Mentor junior AI engineers and contribute to internal knowledge sharing.
  • Optimize model performance, latency, and accuracy across various use cases.

Required Skills & Qualifications:

  • 6+ years of experience in software/ML engineering, with 2+ years specifically in GenAI/LLM space.
  • Strong expertise in Python and popular GenAI libraries (LangChain, LlamaIndex, HuggingFace Transformers, etc.).
  • Deep understanding of LLMs, prompt engineering, embeddings, and vector stores (e.g., FAISS, Pinecone, Weaviate).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
  • Familiarity with fine-tuning, quantization (e.g., LoRA, QLoRA), and inference optimization.
  • Ability to work autonomously and lead cross-functional teams.
  • Strong communication, system design, and leadership skills.

Preferred Qualifications:

  • Prior experience with multi-agent systems, memory-based agents, or tools like CrewAI, AutoGen, LangGraph.
  • Familiar with MCP (Model Context Protocol) and how to implement it in agentic AI applications.
  • Knowledge of multimodal models (text-to-image/video/audio).
  • Publications or contributions in the field of NLP or GenAI.
  • Open-source contributions in the LLM ecosystem.