Senior AI Developer

5 hours ago

Jodhpur, Rajasthan, India beBeeAI Full time ₹ 1,80,00,000 - ₹ 2,01,00,000

We are seeking an experienced Artificial Intelligence Engineer to design and deploy cutting-edge AI-powered workflows that drive innovation in personalized insights. This role is ideal for someone passionate about applied AI and engineering with a strong background in building, optimizing, and deploying AI systems that go beyond prototypes and into real-world, production-grade systems.

Key Responsibilities:

  • Design and implement Retrieval-Augmented Generation (RAG) pipelines for semantic search, personalization, and contextual enrichment.
  • Build agentic AI workflows using Pinecone, LangChain/LangGraph, and custom orchestration.
  • Integrate Large Language Model (LLM)-driven features into production systems, balancing innovation with scalability.

Vector Search & Data Intelligence:

  • Architect and optimize vector databases (Pinecone, FAISS, Milvus) for low-latency retrieval.
  • Work with structured/unstructured datasets for embedding, indexing, and enrichment.
  • Collaborate with data engineers on Extract-Transform-Load/Extract-Load-Transform (ETL/ELT) pipelines to prepare data for AI applications.

Collaboration & Agile Delivery:

  • Partner with backend and frontend engineers to integrate AI features into user-facing products.
  • Participate in Agile ceremonies (sprint planning, reviews, standups).
  • Maintain clear documentation and support knowledge sharing across the AI team.

Required Skills & Qualifications:

  • 5+ years in AI/ML engineering or software engineering with applied AI focus.
  • Hands-on experience with RAG pipelines, vector databases (Pinecone, FAISS, Milvus), and LLM integration.
  • Strong background in Python for AI workflows (embeddings, orchestration, optimization).
  • Familiarity with agentic architectures (LangChain, LangGraph, or similar).
  • Experience deploying and scaling AI features on cloud environments.
  • Strong collaboration and communication skills for cross-functional teamwork.

Preferred Skills:

  • Experience with embedding models, HuggingFace Transformers, or fine-tuning LLMs.
  • Knowledge of compliance frameworks.
  • Exposure to personalization engines, recommender systems, or conversational AI.

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