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Large Language Model Architect

3 weeks ago

Salem, Tamil Nadu, India beBeeJob Full time ₹ 15,00,000 - ₹ 25,00,000
Senior Large Language Model Specialist

This challenging role involves the development and integration of large language models into various enterprise applications.

The ideal candidate will have a strong understanding of model performance, latency, and scalability for real-world usage. Experience with cloud-based AI services such as Azure, AWS, or GCP is essential.

Key Responsibilities:
  • LLM Development and Integration: Develop, fine-tune, and integrate LLMs such as GPT, LLaMA, and Claude into our applications.
  • Prompt Engineering: Implement prompt engineering techniques, embeddings, and RAG pipelines to enhance the performance of our LLMs.
  • Agentic AI Applications: Understand and implement building Agentic AI applications using Langgraph and similar technologies.
  • API Development: Build and maintain APIs, microservices, and front-end/back-end integrations for GenAI applications.
  • Vector Databases: Work with vector databases such as Pinecone, FAISS, Weaviate, and Milvus to enable semantic search.
  • Cloud Deployment: Deploy solutions on cloud AI platforms such as Azure OpenAI, AWS Bedrock, and GCP Vertex AI.
  • Model Optimization: Optimize model performance, latency, and scalability for real-world usage.
  • Collaboration: Collaborate with data scientists and solution architects to deliver Proof-of-Concepts (PoCs) and production-ready applications.
Required Skills:
  • Programming Skills: Strong programming skills in Python, with experience in APIs, microservices, Flask/FastAPI/Django.
  • Azure Databricks: Hands-on experience with Azure Databricks and Apache Spark.
  • Vector Embeddings: Knowledge of vector embeddings and vector databases.
  • Orchestration Frameworks: Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
  • Docker and Kubernetes: Familiarity with Docker, Kubernetes, and MLOps practices for deploying AI models.
  • Cloud-Based AI Services: Experience working with cloud-based AI services such as Azure, AWS, or GCP.
Benefits:

This is a challenging and rewarding role that requires a unique blend of technical and business skills. If you are passionate about AI and want to make a meaningful impact, we encourage you to apply.