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

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

SenzcraftBengaluru, India
2 days ago
Job description

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 - for more details

Our AI Operations SaaS platform – on linkedin ->

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.
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