Senior AI Engineer Specialist

Are you

• Interested to work on cutting edge AI work and be a front runner in AI space
• Excited to work on solving business problems using AI
• Interested in developing your career in a leading packaging and printing industry
• Interested in working for a company that is dedicated to sustainability

If so, read on

• You will be part of a flexible, family friendly organization that cares about its people just as it cares about the environment.
• we'recognize that people come with a wealth of experience and talent. Diversity of experience and skills combined with passion is a key to innovation and excellence. Therefore, we encourage people from all backgrounds to apply to our positions.
• We are looking for Senior AI Engineer Specialist to lead the design, development, and deployment of cutting-edge AI solutions that leverage large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI architectures. This is a hands-on leadership role for a builder and systems thinker who can push generative AI from experimentation into scalable, production-ready capabilities.
• As part of Esko s mission to help brands and suppliers accelerate their packaging go-to-market process, this role will focus on integrating AI and agentic flows into key areas such as automatic artwork creation, layout optimization, and intelligent business workflow orchestration.
• You will also help build tools that seamlessly integrate with existing Esko products to enhance automation and connectivity across the packaging lifecycle. Role is Hybrid and its preferable to have incumbent based in Bangalore.

• Architect robust, modular LLM pipelines including prompt engineering, embeddings, vector search, fine-tuning, and orchestration.
• Design and implement autonomous agents capable of reasoning, tool use (eg, APIs, plugins), and long-horizon task planning.
• Own the full lifecycle of AI systems from prototyping through deployment, observability, and optimization.
• Evaluate and integrate emerging frameworks (eg, LangGraph, CrewAI, AutoGen, and Semantic Kernel) to build next-gen agentic capabilities.
• Ensure performance, safety, and traceability across LLM applications in production environments.
• Lead cross-functional collaboration with data science, platform engineering, and product teams to embed AI into core workflows.
• Stay ahead of research and ecosystem trends to drive technical innovation and strategic differentiation.

• bachelors or masters in Computer Science, Machine Learning, or related field; PhD is a plus.
• 5+ years of experience in AI/ML engineering, including 2+ years focused on LLMs or NLP-based systems.
• Deep understanding of transformer models, prompt strategies, embeddings, fine-tuning, and RAG pipelines.
• Strong software and systems engineering skills, including experience in designing APIs, distributed systems, and production-grade services.
• Proficient in Python and leading AI frameworks such as Hugging Face, LangChain, OpenAI, PyTorch, and Ray.
• Experience with vector databases (FAISS, Pinecone, Weaviate) and agentic orchestration frameworks.
• Proven ability to ship LLM-based products at scale in enterprise or SaaS environments (on-prem or cloud).
• Familiar with secure deployment, prompt injection mitigation, and responsible AI principles.

• Experience building multi-agent or tool-using systems for automation or decision-making.
• Familiarity with reinforcement learning, planning algorithms, or memory-augmented agents.
• Prior contributions to open-source agentic AI frameworks or research papers in generative AI.
• Track record of mentoring junior engineers and guiding architectural decisions.