[DT] : AI Engineering / Lead

About the role

As a Forward Deployed AI Engineer, you operate on the frontlines of innovation, bridging the gap between cutting-edge AI capabilities and enterprise production systems. You work directly at the intersection of client problem spaces and AI system architecture—designing, building, deploying, and scaling custom AI solutions (including LLM pipelines, RAG architectures, multi-agent workflows, and fine-tuned models) tailored to client environments.

What you'll do

• Client Engagement & Solution Delivery
• Partner directly with client engineering and business stakeholders to translate complex requirements into robust technical specifications and AI workflows
• Architect and deploy production-grade AI solutions—including RAG pipelines, fine-tuned models, vector databases
• Lead integration efforts to connect AI microservices with existing enterprise infrastructure, legacy data stores, APIs, and business systems
• (Senior/Team Lead) Act as the primary technical authority and trusted advisor to client executive leadership (CTOs, VPs of Engineering) on AI strategy, security, and ROI

What you need

• 3–8 yrs of experience
• Microservices
• MLOps
• CI/CD
• Data privacy
• Test automation
• Prompt engineering
• Class 12

Good to have

• Node.js
• Python
• TypeScript
• AWS
• Go
• Docker

What you get

• ₹10 L–₹20 L a year