Principal Large Language Model Architect

3 days ago


Kanpur, Uttar Pradesh, India beBeeGenerative Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Generative AI Engineer

Key Responsibilities:

  • Design, develop and deploy artificial intelligence (AI) solutions focusing on Generative AI and Large Language Models.
  • Fine-tune, prompt-engineer and optimize Large Language Models for domain-specific tasks.
  • Utilize frameworks like LangChain, LlamaIndex or similar to build modular AI applications.
  • Integrate Large Language Models with APIs, databases, vector stores and enterprise applications.
  • Evaluate and implement model deployment strategies in various environments (on-prem, cloud, serverless or containerized).
  • Collaborate with cross-functional teams to deliver end-to-end AI solutions.
  • Stay updated with the latest advancements in AI, ML and GenAI research, proposing adoption of new technologies.
  • Implement best practices for continuous training, deployment and monitoring of models in production.

Required Qualifications:

  • 5+ years of experience in software development (Python preferred; familiarity with Java, C# or Node.js a plus).
  • 2+ years of hands-on experience in Generative AI and LLM-based development.
  • Strong knowledge of AI/ML fundamentals including NLP, deep learning, embeddings and transformers.
  • Experience with LLMs (e.g. OpenAI GPT, Anthropic Claude, LLaMA, Falcon, Mistral or similar).
  • Proven track record of delivering at least 2 production-grade LLM-based projects.
  • Experience with LangChain, LlamaIndex, Haystack or similar frameworks.
  • Familiarity with vector databases (Pinecone, Weaviate, Milvus, FAISS, Chroma).
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI services (Bedrock, VertexAI, Azure OpenAI).
  • Proficiency in containerization and deployment tools (Docker, Kubernetes, CI/CD pipelines).
  • Experience with MLOps tools (MLflow, Kubeflow, Weights & Biases) for model lifecycle management.
  • Strong problem-solving, analytical and communication skills.

Benefits:

This is a great opportunity to work with cutting-edge technology and be part of a dynamic team.

Others:

We are committed to providing a safe and inclusive work environment.

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