Principal AI Specialist

15 hours ago

Bellary, Karnataka, India beBeeai Full time ₹ 20,00,000 - ₹ 25,00,000
About This Opportunity

We are seeking an experienced professional to lead the development of AI-powered workflows that drive personalized insights.

You will focus on building and implementing RAG pipelines, vector search, and intelligent automation, working closely with cross-functional teams to bring scalable GenAI features into production.

Key Responsibilities:
  • AI Workflows:
    • Design and implement RAG pipelines for semantic search, personalization, and contextual enrichment.
    • Build agentic AI workflows using Pinecone, LangChain/LangGraph, and custom orchestration.
    • Integrate 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 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 and 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.
Tech Stack
  • AI Tools: Pinecone, LangChain, LangGraph, OpenAI APIs (ChatGPT, GPT-4/5), HuggingFace models
  • Languages: Python (primary for AI workflows), basic Node.js knowledge for integration
  • Cloud & DevOps: AWS (Lambda, S3, RDS, DynamoDB, IAM), Docker, CI/CD pipelines
  • Data Engineering: SQL, Python (Pandas, NumPy), ETL/ELT workflows, Databases (Postgres, DynamoDB, Redis)
  • Bonus Exposure: React, Next.js

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