Backend Expert in Next-Generation AI Systems

1 day ago

Aurangabad, Maharashtra, India beBeeGenerative Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Job Role

As a Backend Engineer specializing in Generative AI, you will play a key role in integrating Large Language Model (LLM) intelligence into our ecosystem.

This is a hands-on, full-time opportunity to help shape the next generation of intelligent, secure, cloud-native applications.

We're looking for someone with expertise in building Agentic AI systems, LLM integrations, and context-aware Retrieval-Augmented Generation (RAG) pipelines.

  • Strong backend development experience using Python with libraries like NLTK, Spacy, FastAPI, Tensorflow, Keras, Pytorch, FastMCP, Pandas.
  • Deep experience in REST API development, backend microservices, and production-ready codebases.
  • Experience working with SQL and understanding data modeling across both SQL (e.g., PostgreSQL) and NoSQL systems.
  • Proficient in writing unit tests, debugging, documenting, and collaborating through code reviews.
  • Comfortable with Docker, Kubernetes, and CI/CD pipelines.

Specialization in GenAI & LLMs:

  • Practical experience with LLM ecosystems and frameworks like Langchain, LangGraph, CrewAI, Agnos, AutoGPT, or Semantic Kernel.
  • Experience building RAG pipelines with Vector stores (e.g., Chroma, Qdrant, Pinecone), embedding models, chunking, and token window optimization.
  • Familiarity with Model Context Protocol (MCP) or other advanced context injection strategies.
  • Integrating with OpenAI, Anthropic, Ollama, Hugging Face, etc.
  • Writing or using custom tools, memory components, or agent planners.
  • Designing multi-agent architectures or orchestrated workflows.
  • Working with prompt engineering, tool calling, and external APIs.

Bonus Skills:

  • Hands-on experience with federated query tools like Trino or Athena.
  • Familiarity with cloud-native deployments (GCP/GKE, AWS/EKS).
  • Experience building data connectors (SQL/GraphQL APIs for RAG).
  • Background in privacy-aware computing, data security, or compliance-driven design.
  • Any experience with Golang for microservices or infra tooling is a plus.

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