Strategic AI Leader

1 day ago

Kottayam, Kerala, India beBeeTechnical Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Key Positions

We are currently seeking a skilled Technical Lead to oversee the development and integration of Python-based applications with Large Language Models (LLMs).

About The Role

The ideal candidate will have expertise in architecting and implementing LLM pipelines, including prompt engineering, retrieval-augmented generation, fine-tuning, and evaluation.

Main Responsibilities:
  • Design and implement scalable microservices and APIs for AI features.
  • Collaborate with Machine Learning Operations 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.
Key Qualifications:
  • 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.
Benefits Of Working With Us

This is an exciting opportunity to work with a dynamic team and contribute to the development of cutting-edge AI solutions.

Additional Requirements:
  • Excellent leadership and mentoring abilities. Strong problem-solving and analytical skills.
  • 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.

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