AI/ML Architect / Lead AI Engineer

HuntingCube; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

HuntingCube in India seeks a senior AI/ML Architect/Lead AI Engineer to own architecture and product development across Generative AI, LLMs, and scalable production platforms.

The role is hands-on, leading cross-functional teams to deliver end-to-end AI/ML pipelines, model training, deployment, and optimization while aligning technology with business goals.

You will mentor engineers and collaborate with product teams to translate AI ideas into real products.

Qualifications

• 14–15+ years of engineering experience.
• Hands-on experience building AI/ML products.
• Strong expertise in Generative AI, LLMs and Agentic AI.
• Experience taking AI solutions from architecture → development → production.
• Strong system design and distributed‑systems knowledge.
• Ability to make architecture and technology decisions independently.
• Experience leading engineering teams while remaining technically hands‑on.
• Strong business understanding and ability to connect technology with business outcomes.
• Experience in Finance, Healthcare or Retail is a plus.

Responsibilities

• Design and build scalable AI/ML and Generative AI products.
• Architect LLM and Agentic AI applications.
• Build AI agents with multi‑step reasoning, tool usage and contextual memory.
• Develop end‑to‑end AI/ML pipelines.
• Work on model training, fine‑tuning, feature engineering and real‑time inference.
• Build and manage MLOps and model deployment pipelines.
• Design high‑performance, distributed and scalable systems.
• Optimize AI systems for performance, reliability and cost.
• Work closely with product and business teams to turn ideas into technical solutions.
• Lead and mentor cross‑functional engineering teams.
• Evaluate and implement emerging AI technologies.

Skills

Python

Machine Learning

Artificial Intelligence

Deep Learning

NLP

Computer Vision

Big Data

AWS

Tools

TensorFlow

Keras

Django

Flask

Spark

Hadoop

Kafka

Kudu

HBase

Hive

MongoDB

RabbitMQ

Docker

Kubernetes

CI/CD

AWS

Job description

Job Description

About the Role We’re looking for a senior AI/ML Architect / Lead AI Engineer who can go deep into engineering while also owning the architecture and development of AI products. You’ll work on Generative AI, LLMs, Agentic AI, ML systems, and scalable production-grade platforms — from architecture and model development to deployment and optimization. This is a hands‑on leadership role for someone who enjoys solving complex engineering problems and turning AI ideas into real products.

What You’ll Work On

• Design and build scalable AI/ML and Generative AI products
• Architect LLM and Agentic AI applications
• Build AI agents with multi‑step reasoning, tool usage and contextual memory
• Develop end‑to‑end AI/ML pipelines
• Work on model training, fine‑tuning, feature engineering and real‑time inference
• Build and manage MLOps and model deployment pipelines
• Design high‑performance, distributed and scalable systems
• Optimize AI systems for performance, reliability and cost
• Work closely with product and business teams to turn ideas into technical solutions
• Lead and mentor cross‑functional engineering teams
• Evaluate and implement emerging AI technologies

Required Technical Expertise

• AI / ML
• Generative AI & LLMs
• Agentic AI & Agentic Frameworks
• Multi‑Step Reasoning
• Tool Calling / Function Calling
• Contextual Memory
• Machine Learning & Deep Learning
• NLP & Computer Vision
• TensorFlow / Keras
• Time Series Forecasting
• Predictive Modeling
• Image Processing
• Model Training & Fine‑Tuning
• Feature Engineering
• Real‑Time Inference
• MLOps Engineering & Architecture
• Solution Architecture
• System Design
• Scalable & Distributed Systems
• Microservices
• Performance Tuning
• ETL Pipelines
• Data Modeling
• Data Governance
• Big Data & Analytics Platforms
• Languages: Python, Go
• Cloud: AWS, Azure
• Frameworks: Django, Flask
• Big Data: Hadoop, Spark, Kafka, Kudu, HBase, Hive
• Databases: MongoDB
• Messaging: RabbitMQ
• Infrastructure: Docker, Kubernetes
• DevOps: CI/CD, Cloud Migration

What We’re Looking For

• 14–15+ years of strong engineering experience
• Deep hands‑on experience building AI/ML products
• Strong expertise in Generative AI, LLMs and Agentic AI
• Experience taking AI solutions from architecture → development → production
• Strong system design and distributed‑systems knowledge
• Ability to make architecture and technology decisions independently
• Experience leading engineering teams while remaining technically hands‑on
• Strong business understanding and ability to connect technology with business outcomes
• Experience in Finance, Healthcare or Retail is a plus

Required Skills

• Python
• Machine Learning
• Artificial Intelligence
• Kafka
• Deep Learning
• AWS
• TensorFlow
• ML
• Generative AI
• Large Language Models (LLMs)

Additional Information

NA