AI Workflow Strategist

1 day ago

Rajahmundry, Andhra Pradesh, India beBeeEngineering Full time ₹ 1,75,40,000 - ₹ 2,15,10,000
Achieve AI Excellence

About the Role

We seek a seasoned Senior AI Engineer to spearhead the development of cutting-edge AI-powered workflows.

This role is ideal for an individual with a strong passion for applied AI engineering, possessing the ability to design, build, optimize, and deploy real-world AI systems.

Key Responsibilities:

  • AI & Agentic Workflows:
    • Design and implement 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.
    • Collaborate with data engineers on ETL/ELT pipelines to prepare data for AI applications.
    • Work with structured/unstructured datasets for embedding, indexing, and enrichment.
  • 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 AWS cloud environments.
  • Strong collaboration and communication skills for cross-functional teamwork.

Bonus Exposure:

  • React
  • Next.js

Preferred Skills:

  • Experience with embedding models, HuggingFace Transformers, or fine-tuning LLMs.
  • Knowledge of compliance frameworks (GDPR, HIPAA, SOC 2).
  • Exposure to personalization engines, recommender systems, or conversational AI.

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