Job Description

ZEISS in India

ZEISS in India is headquartered in Bengaluru and present in the fields of Industrial Quality Solutions, Research Microscopy Solutions, Medical Technology, Vision Care and Sports & Cine Optics.

ZEISS India has 3 production facilities, R&D center, Global IT services and about 40 Sales & Service offices in almost all Tier I and Tier II cities in India. With 2200+ employees and continued investments over 25 years in India, ZEISS’ success story in India is continuing at a rapid pace.

Further information at ZEISS India

We are seeking a highly skilled Senior AI Engineer with expertise in generative AI, large language models (LLMs), natural language processing (NLP), and data engineering. In this role, you will design and implement cutting-edge AI systems, leveraging frameworks like LangGraph, Retrieval-Augmented Generation (RAG), and graph-based techniques to create innovative knowledge systems. This is an exciting opportunity to work on challenging problems, collaborate with cross-functional teams, and shape the future of AI-driven solutions.

Technical Expertise

• Strong experience with LangGraph or similar frameworks for LLM-based applications.
• Proficiency in prompt engineering and fine-tuning LLMs.
• Hands-on experience with RAG techniques and/or graph-based knowledge systems.
• Advanced knowledge of NLP techniques, including text preprocessing, embeddings, and transformer-based models.
• Advanced programming skills in Python and familiarity with AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
• Proficiency with REST API development with pythong (Flask, Django, FastAPI)

Data Engineering

• Proven ability to design and implement scalable data pipelines.
• Experience with data preprocessing, ETL workflows, and working with structured/unstructured data.

AI Workflow Design

• Deep understanding of AI agent workflows and multi-agent systems.
• Familiarity with reinforcement learning, reasoning systems, or similar AI paradigms.

Problem-Solving and Innovation

• Strong analytical and problem-solving skills with a focus on pragmatic, impactful solutions.
• Ability to experiment with and implement novel AI techniques.

Collaboration and Communication

• Excellent communication skills to explain complex technical concepts to non-technical stakeholders.
• Ability to work collaboratively in a team environment.

Preferred Qualifications

• Experience with knowledge graphs, semantic search, or ontology-based systems.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools.
• Knowledge of vector databases (e.g., Pinecone, pg_vector, or Milvus).
• Prior experience in building production-grade AI systems.
• Advanced understanding of transformer-based NLP models like BERT, GPT, or T5.

Your ZEISS Recruiting Team:

Saptarshi Chowdhury