Generative AI Developer

3 days ago

Vizag, Andhra Pradesh, India beBeeExpert Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Key Responsibilities:

  • Large Language Model Integration
    • Develop, fine-tune and integrate Large Language Models (GPT, LLaMA, Claude etc.) into enterprise applications.
  • Prompt Engineering and Retrieval Augmented Generation Pipelines
    • Implement prompt engineering techniques, embeddings, and Retrieval Augmented Generation pipelines.
  • Agentic AI Application Development
    • Build a deep understanding of building Agentic AI applications using Langgraph and similar technologies.
  • API Design and Microservice Integrations
    • Design, build and maintain APIs, microservices, and front-end/back-end integrations for Generative AI applications.
  • Vector Database Solutions and Semantic Search
    • Work with vector databases (Pinecone, FAISS, Weaviate, Milvus) to enable semantic search functionality.
  • Cloud-based Deployment and Model Optimization
    • Deploy solutions on cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI).
    • Optimize model performance, latency and scalability for real-world usage.
  • Collaboration and Responsible AI Practices
    • Collaborate with data scientists and solution architects to deliver Proof of Concepts (PoCs) and production-ready applications.
    • Ensure that AI solutions follow responsible AI, data privacy, and security guidelines.

Required Skills:

  • Programming Expertise
    • Strong programming skills in Python, with experience in APIs, microservices, Flask/FastAPI/Django.
  • Experience with Cloud-based Services
    • Hands-on experience with Azure Databricks and Apache Spark.
    • Knowledge of vector embeddings and vector databases.
    • Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
    • Familiarity with Docker, Kubernetes, and MLOps practices for deploying AI models.
    • Experience working with cloud-based AI services (Azure, AWS, or GCP).
  • Problem-Solving and Debugging
    • Strong problem-solving and debugging skills.
  • Optional Experience
    • Good to have experience with PyTorch, TensorFlow, Hugging Face Transformers.

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