Job ID

66737

Category

Enterprise Technology

Location

India

Work Type

Hybrid

AI Engineer with solid Full Stack Development experience to design, build, and deploy production-ready AI infrastructure and machine learning models. This role goes beyond traditional AI engineering — the ideal candidate will also drive application support, business stakeholder engagement, and release planning/management

Resource will architect Agentic AI workflows, RAG (Retrieval-Augmented Generation) systems, and high-performance data pipelines to enable digital transformation through Generative AI, Computer Vision, and NLP solutions — while also owning the end-to-end lifecycle of current systems in production.

AI/ML Engineering
- Design, develop, and deploy production-ready AI infrastructure and machine learning models
- Architect Agentic AI workflows and RAG systems for enterprise use cases
- Build high-performance, scalable data pipelines to support AI/ML model training and inference
- Develop and implement solutions leveraging Generative AI, Computer Vision, and NLP




- Optimize model performance, latency, and cost for production environments
- Stay current with emerging AI/ML frameworks, tools, and best practices

Full Stack Development
- Design and develop front-end and back-end components to support production applications
- Build robust APIs and integrate AI/ML models into web and enterprise applications
- Ensure application scalability, security, and performance across the stack

Application Support
- Provide ongoing production support for Production applications, including troubleshooting, root cause analysis, and issue resolution
- Monitor application health, performance, and reliability post-deployment
- Create and maintain support documentation, runbooks, and knowledge base articles
- Respond to incidents and manage escalations in a timely manner

Experience: Bachelor’s degree with 5–8 years in AI architecture or ML development.

Core AI/ML: Proficiency in Python, AI/

📌 AI Full stack Engineer (India)
🏢 Ford Motor
📍 India