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Enterprise AI Engineer

3 weeks ago

Kannur, Kerala, India beBeeArtificialIntelligence Full time ₹ 15,00,000 - ₹ 25,00,000

Job Title: Enterprise AI Engineer

We are seeking a skilled and experienced AI engineer to join our team. The ideal candidate will have a strong background in developing and integrating Large Language Models (LLMs) into enterprise applications.

Key Responsibilities:

  • Develop, fine-tune, and integrate LLMs (GPT, LLaMA, Claude, etc.) into enterprise systems.
  • Implement prompt engineering techniques, embeddings, and RAG pipelines.
  • Understand building Agentic AI applications using Langgraph, etc.
  • Design and develop APIs, microservices, and front-end/back-end integrations for GenAI applications.
  • Work with vector databases (Pinecone, FAISS, Weaviate, Milvus) to enable semantic search.
  • Deploy solutions on cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI).
  • Optimize model performance, latency, and scalability for real-world usage.
  • Collaborate with data scientists and solution architects to deliver PoCs and production-ready applications.
  • Ensure AI solutions follow responsible AI, data privacy, and security guidelines.

Required Skills:

  • Strong programming skills in Python (preferred), with experience in APIs, microservices, Flask/FastAPI/Django.
  • 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).
  • Strong problem-solving and debugging skills.
  • Good to have experience with PyTorch, TensorFlow, Hugging Face Transformers.

Benefits:

  • Opportunity to work with cutting-edge AI technology.
  • Chance to collaborate with a talented team of engineers and data scientists.
  • Professional growth and development opportunities.

Others:

  • Must be willing to learn and adapt to new technologies and tools.
  • Ability to work independently and as part of a team.