AI Workflow Engineer

6 hours ago

Kottayam, Kerala, India beBeeArtificial Full time ₹ 20,00,000 - ₹ 25,00,000

About the Opportunity

As a seasoned professional, you will spearhead the development and deployment of cutting-edge AI-powered solutions that redefine personalized insights.

This innovative role is tailored for an expert with a passion for applied AI and engineering. You'll be responsible for crafting, optimizing, and deploying AI systems that transcend prototypes and enter the realm of production-grade systems.

Key Responsibilities

AI & Engineering Workflows

  • Design and implement robust pipelines for semantic search, personalization, and contextual enrichment.
  • Develop agentic workflows leveraging Pinecone, LangChain/LangGraph, and custom orchestration.
  • Integrate LLM-driven features into scalable production systems, balancing innovation with efficiency.

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 structured/unstructured datasets for AI applications.
  • Work with embedded models, HuggingFace Transformers, or fine-tuning LLMs for enhanced performance.

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.

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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