GenAI Engineer

Centum T&S India is a Business unit of Centum Electronics Group offers a wide range of electronic and embedded systems design engineering services to Global Customers to help them realize complex products and sub systems. Centum T&S India (CAI) is an Electronics Design Centre of Excellence, designing for mission critical projects in Aerospace/Space, Transportation, Medical Electronics, Dfense Electronics etc. It has other design centres in France, USA, Canada & Germany.

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be responsible for the delivery of the items assigned to you with quality and should interact with cross functional team and resolve the problem. You should excel in working with global stakeholders and have outstanding communication and leadership skills and report to the Project Manager.

What You'll Do

• Architect and build GenAI-powered applications using LLMs and advanced RAG pipelines for technical documentation, maintenance, and support workflows.
• Design and implement retrieval-augmented generation (RAG) systems leveraging vector databases and semantic search for contextual information retrieval.
• Integrate and fine-tune LLMs (OpenAI, Anthropic, Amazon Bedrock, HuggingFace, etc.) for domain-specific tasks and continuous improvement.
• Develop robust evaluation frameworks for LLM output (relevancy, faithfulness, summarization, contextual accuracy).
• Build and deploy microservices and APIs for GenAI solutions, ensuring high availability, scalability, and secure access.
• Collaborate with product, domain, and platform teams to refine requirements and deliver innovative GenAI solutions.
• Stay current with GenAI trends, frameworks, and best practices to future-proof solutions for evolving enterprise needs.

Who You Are?

• Building enterprise-grade RAG systems for technical documentation, support, or maintenance workflows.
• Implementing multi-modal retrieval in large-scale environments.
• Familiarity with continuous evaluation and improvement of LLMs in production (A/B testing, feedback loops).
• Exposure to regulated industries (aviation, manufacturing, healthcare) with strict compliance and audit requirements.
• Working with multi-cloud architectures (AWS, Azure, GCP) and hybrid deployments.
• Advanced knowledge of MLOps: model deployment, monitoring, rollback, and lifecycle management.
• Automation & API tools: PyTest, Robot, Playwright, Appium, Postman/Newman, REST Assured; OpenAPI/JSON Schema; Pact (consumer contracts).
• Building enterprise-grade RAG systems for technical documentation, support, or maintenance workflows.
• Implementing multi-modal retrieval in large-scale environments.
• Familiarity with continuous evaluation and improvement of LLMs in production (A/B testing, feedback loops).
• Exposure to regulated industries (aviation, manufacturing, healthcare) with strict compliance and audit requirements.
• Working with multi-cloud architectures (AWS, Azure, GCP) and hybrid deployments.
• Advanced knowledge of MLOps: model deployment, monitoring, rollback, and lifecycle management.