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Head of AI Innovation

3 weeks ago

Bharatpur, Rajasthan, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Opportunity:

Technical Lead

We are seeking a seasoned Technical Lead to spearhead the development and integration of Python-based applications with Large Language Models (LLMs). The successful candidate will be responsible for architecting and implementing LLM pipelines, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation.

The ideal candidate will have strong proficiency in Python, experience with LLM integration, and knowledge of RAG pipelines. They should also be familiar with MLOps tools, containerization, and orchestration.

Key Responsibilities:

  • Design and implement scalable microservices and APIs for AI features.
  • Collaborate with Machine Learning Operations (MLOps) teams to deploy and monitor AI models in production.
  • Ensure performance optimization, cost efficiency, and security in LLM workflows.
  • Guide the team on Python best practices, code reviews, and technical problem-solving.
  • Stay updated on emerging AI/LLM advancements and propose adoption where beneficial.

Mandatory Skills:

  • Strong proficiency in Python (FastAPI, Flask).
  • Solid experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex).
  • Understanding of RAG pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus).
  • Experience with prompt engineering & evaluation techniques. Knowledge of MLOps tools (MLflow, Kubeflow, Langfuse) and deployment on AWS/GCP/Azure.
  • Familiarity with containerization and orchestration (Docker, Kubernetes).
  • Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.

Preferred Skills:

  • Excellent leadership and mentoring abilities.
  • Effective communication with technical and non-technical stakeholders.
  • Ability to work in a fast-paced, evolving AI environment.
  • Experience with agentic AI or Model Context Protocol (MCP). Background in data pipelines (ETL, streaming data).
  • Exposure to AI security & compliance practices. Prior work in scalable enterprise AI products.

About Us:

We are a cutting-edge organization that strives to push the boundaries of innovation in the field of Artificial Intelligence.

Contact Information:

Please submit your application through our website.