AI Systems Architect

3 days ago

Lucknow, Uttar Pradesh, India beBeeArtificial Full time US$ 1,50,000 - US$ 2,20,000

Explore a Senior AI Engineer opportunity to lead the design and deployment of cutting-edge AI-powered workflows that revolutionize personalized insights.

This role is ideal for someone passionate about applied AI and engineering with the ability to build, optimize, and deploy AI systems that go beyond prototypes and into real-world, production-grade systems.

Key Responsibilities

  • Develop innovative 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

  • Design 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 (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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