Chief AI Architect

14 hours ago


Mangalore, Karnataka, India beBeeAgentic Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Reimagining the Frontiers of Personalized Insights

We seek an experienced leader to spearhead the development and deployment of AI-driven, agent-based workflows that redefine the future of personalized insights.

Key ResponsibilitiesAI & Agentic Workflows
  • Design and implement advanced RAG pipelines for semantic search, personalization, and contextual enrichment.
  • Develop 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.

Tech Stack: AI Tools - Pinecone, LangChain, LangGraph, OpenAI APIs; Languages - Python, Node.js; Cloud & DevOps - AWS, Docker, CI/CD pipelines; Data Engineering - SQL, Python, ETL/ELT workflows, Databases - Postgres, DynamoDB, Redis.

Required Qualifications
  • 5+ years in AI/ML engineering or software engineering with applied AI focus.
  • Hands-on experience with RAG pipelines, vector databases, and LLM integration.
  • Strong background in Python for AI workflows.
  • Familiarity with agentic architectures.
  • Experience deploying and scaling AI features on AWS cloud environments.
  • Strong collaboration and communication skills.

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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