Forward Deploy AI Engineer (SLM)

About the role

In this role, you’ll design, fine-tune, and deploy optimized Small Language Models (SLMs) that power production-grade AI features across logistics, planning, inventory, and demand forecasting. This is a product-first data science role . You won’t just build models—you’ll own how they show up in real products used by large enterprises.

What you'll do

• Build and fine-tune SLMs/LLMs for production use cases such as semantic search, forecasting, contract intelligence, and conversational insights
• Optimize models for performance, cost, and latency using PEFT, quantization, and efficient inference techniques
• Embed supply chain knowledge into models by working closely with domain experts and product teams
• Enable agentic workflows , allowing AI Assistants to execute planning, optimization, and decision-support tasks
• Integrate models into products using custom Lambdas, and a Graph-based microservices architecture

What you need

• 8–14 yrs of experience
• Python
• LLMs
• Data modelling
• PyTorch
• TensorFlow
• ERP
• Any graduate

Good to have

• GraphQL
• MLOps
• AWS
• GCP
• Microservices
• Azure