Lead AI Engineer – LLM (6-12 years) - Supply chain and Logistics domain

About Senzcraft :

Founded by IIM Bangalore and IEST Shibpur Alumni, Senzcraft is a hyper-automation company. Senzcraft vision is to Radically Simplify Today's Work. And Design Business Process For The Future. Using intelligent process automation technologies.

We have a suite of SaaS products and services, partnering with automation product companies.

Please visit our website - https : / / www.senzcraft.com for more details

Our AI Operations SaaS platform – https : / / MagicOps.ai

Senzcraft on linkedin ->

https : / / www.linkedin.com / company / senzcraft

Senzcraft is awarded by Analytics India Magazine in it's report "State of AI in India" as a "Niche AI startup". Senzcraft is also recognized by NY based SSON as a top hyper-automation solutions provider.

About the role (Lead AI Engineer - LLM) :

Location : Bangalore – Hybrid

Experience : We have multiple roles open (6-12 years)

Employment Type : Full-time

Job Description :

We are looking for a Lead AI Engineer with deep expertise in NLP, Large Language Models (LLMs), and Prompt Engineering to drive end-to-end AI-based solutions — from experimentation to production.

The ideal candidate will have hands-on experience in fine-tuning, optimizing, and prompt-engineering transformer-based models (e.g., GPT, BERT, T5) for real-world business applications, specifically within the supply chain and logistics domain.

Key Responsibilities

• Fine-tune, adapt, and optimize LLMs and NLP models (GPT, BERT, T5, etc.) for supply chain and logistics–specific tasks such as demand forecasting, shipment tracking insights, and document understanding.
• Design, engineer, and optimize prompts to improve model accuracy, contextual understanding, and task-specific performance.
• Build and deploy scalable NLP solutions (e.g., summarization, chatbots, semantic search) tailored for supply chain applications.
• Lead experimentation, model evaluation, and inference optimization for production environments.
• Collaborate with data engineering and MLOps teams for model deployment, monitoring, and lifecycle management.
• Mentor junior data scientists and ensure best practices in model development, fine-tuning workflows, and prompt design strategies.

Mandatory Skills

Good to Have

Education