Senior AI Engineering Manager

4 hours ago

Dombivli, Maharashtra, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI Workflow Architect

Uplevyl is a leading developer of innovative AI-powered technologies. We are seeking an experienced Senior AI Engineer to lead the design and deployment of agentic workflows that drive personalized insights.

As a key member of our team, you will focus on developing vector search capabilities, retrieval-augmented generation (RAG), and intelligent automation. You will collaborate closely with full-stack engineers and product teams to bring scalable GenAI features into production.

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 ResponsibilitiesAgentic Workflows & RAG Pipelines
  • 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.
Technical Requirements
  • 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.

The successful candidate will have a passion for driving innovation through cutting-edge technology and a strong commitment to delivering high-quality results under tight deadlines. If you are a motivated and detail-oriented professional looking to take your career to the next level, we encourage you to apply.

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