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Python and LLM Specialist

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Chennai, Tamil Nadu, India beBeeArtificial Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Job Title: Technical Director

Company Overview: Our organization is seeking a skilled professional to lead the development and integration of Python-based applications with Large Language Models (LLMs). The ideal candidate will have expertise in architecting scalable microservices and APIs for AI features, collaborating with MLOps teams to deploy and monitor AI models in production, and ensuring performance optimization, cost efficiency, and security in LLM workflows.

Key Responsibilities:
  • LLM Integration: Lead the development and integration of Python-based applications with LLMs such as OpenAI, DeepSeek, Anthropic, LLaMA, etc.
  • Pipeline Architect: Design and implement LLM pipelines including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation.
  • Microservices Architecture: Design scalable microservices and APIs for AI features.
  • MLOps Collaboration: Collaborate with MLOps teams to deploy and monitor AI models in production.
  • Performance Optimization: Ensure performance optimization, cost efficiency, and security in LLM workflows.
  • Team Guidance: Guide the team on Python best practices, code reviews, and technical problem-solving.
  • Emerging Advancements: Stay updated on emerging AI/LLM advancements and propose adoption where beneficial.
Required Skills and Qualifications:
  • Python Expertise: Strong proficiency in Python (FastAPI, Flask).
  • LLM Integration: Solid experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex).
  • RAG Pipelines: Understanding of RAG pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus).
  • Prompt Engineering: Experience with prompt engineering & evaluation techniques. Knowledge of MLOps tools (MLflow, Kubeflow, Langfuse) and deployment on AWS/GCP/Azure.
  • Containerization: Familiarity with containerization and orchestration (Docker, Kubernetes).
  • REST APIs: Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.
Benefits:

This role offers the opportunity to work with cutting-edge technology and collaborate with experienced professionals in the field.

Others:

The ideal candidate will possess excellent leadership and mentoring abilities, strong problem-solving and analytical skills, effective communication with technical and non-technical stakeholders, and ability to work in a fast-paced, evolving AI environment.