Senior AI Engineer – Generative AI and Knowledge Systems

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: