Senior LLM Integration Specialist

3 days ago

Chandigarh, Chandigarh, India beBeeTechnical Full time ₹ 15,00,000 - ₹ 25,00,000
Job Description:

A highly skilled Technical Lead is required to spearhead the integration of Large Language Models (LLMs) with Python-based applications. The ideal candidate will possess a deep understanding of LLM architecture, strong leadership skills, and hands-on experience in designing, developing, and deploying AI-powered solutions.

This role involves collaborating closely with product, data science, and MLOps teams to integrate LLMs into real-world applications, optimize performance, and guide the team in best practices for AI system design.

  • Lead the development and integration of Python-based applications with LLMs.
  • Architect and implement LLM pipelines including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation.
  • Design scalable microservices and APIs for AI features.
  • Collaborate with 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.
Required Skills & 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:

As a Technical Lead, you will have the opportunity to work on cutting-edge AI projects, collaborate with talented engineers, and contribute to the development of innovative solutions.

  • Opportunity to work on diverse AI projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

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