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Agentic AI Engineer

MOVUS

MOVUS

Software Engineering, Data Science
India · Infinite Loop, Cupertino, CA, USA
Posted on Jan 30, 2026

Agentic AI Engineer – Real-Time Process Intelligence

We are building the AI brain for industrial operations.
Our platform uses LLMs, machine learning, and real-time streaming data to detect failures, explain what’s happening inside machines, and recommend what to do — automatically.
We’re looking for Agentic AI Engineers who want to build autonomous, reasoning-driven AI systems that work on live industrial data, not static chatbots.
This is not a prompt-engineering role.
This is about turning LLMs into decision engines.
What You’ll Work On
You will build LLM-powered agents that:
  • Watch thousands of live sensor streams (vibration, temperature, energy, process data)
  • Detect abnormal behavior
  • Reason about root cause using domain knowledge and ML models
  • Decide what action to take (alert, recommend, escalate, verify)
  • Learn from feedback and outcomes
Think ChatGPT meets industrial digital twins — running in real time.
What You’ll Build
You will design and deploy:
  • Multi-agent AI systems that collaborate (sensor agents, asset agents, plant agents)
  • Tool-using LLMs that call:
  • anomaly detection models
  • time-series databases
  • physics models
  • CMMS and ERP APIs
  • Real-time inference pipelines powered by Kafka, Flink, or Spark
  • Memory systems that let AI remember machine history, failures, and past actions
What We’re Looking For
You should be comfortable with:
  • LLMs in production (OpenAI, Claude, Mistral, LLaMA, etc.)
  • Agent frameworks (LangGraph, LangChain, CrewAI, AutoGen, etc.)
  • Tool-calling + RAG + memory
  • Streaming systems (Kafka, Flink, Spark, Redis)
  • Python + ML models (anomaly detection, prediction, classification)
  • Experience integrating:
  • Anomaly detection models
  • Predictive models
  • Physics-based or rule-based engines
  • with LLM-driven reasoning layers
You don’t need to know everything — but you should love learning fast and building real systems.
Why This Role Is Different
You will be:
  • Creating AI systems that think, decide, and act
  • Running AI on live machines
  • Building technology that prevents failures, saves energy, and improves production
Your code will directly impact factories, plants, and millions of dollars of operations.
Who Should Apply
You’re a fit if you:
  • Enjoy building complex systems
  • Like combining ML + LLMs + real-time data
  • Want to work on AI that actually changes the physical world