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

Proven experience in fine-tuning, optimizing, and prompt-engineering large transformer-based models for production.

Strong proficiency in Python, PyTorch / TensorFlow , and Hugging Face Transformers .

Deep understanding of NLP techniques — tokenization, embeddings, attention mechanisms, and contextual modeling.

Familiarity with MLOps tools (MLflow, Docker, Kubernetes) and cloud ML platforms (AWS, GCP, Azure).

Domain experience in supply chain and logistics is mandatory.

Good to Have

Experience with RAG (Retrieval-Augmented Generation) and vector databases (FAISS, Pinecone).

Exposure to multimodal models and open-source LLM contributions .

Hands-on experience in prompt evaluation frameworks and prompt optimization pipelines .

Education

Master’s or Bachelors in Computer Science, Data Science, or a related field.