AI Engineer - GenAI & Agentic AI

Kitron Group; Chennai District; On-site; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Global team and projects

Development courses

Training and competence development

Job summary

Kitron India is seeking an AI Engineer to build Generative AI and agentic workflows for business, operations, engineering and manufacturing use cases. You will develop RAG solutions using company documents and deploy AI programs via Docker in cloud or on-prem environments.

You will collaborate with IT, software and engineering teams, evaluate models, and produce architecture and POC reports while continuously exploring emerging GenAI frameworks.

Qualifications

• Bachelor’s or Master’s degree in CS, AI, DS, Electronics, IT, or related field.
• 2–5 years of experience in AI engineering, software engineering, Generative AI, or related development.
• Strong hands-on Python development experience.
• Experience with LLMs, RAG, embeddings, vector databases, semantic search, knowledge retrieval.
• Experience building AI agents, agentic workflows, tool calls, multi-step AI apps.

Responsibilities

• Develop AI applications and POCs for business and manufacturing use cases.
• Build Generative AI solutions using LLMs such as GPT, Claude, Gemini, Llama, Phi.
• Develop RAG solutions using documents, databases, and enterprise knowledge.
• Design AI agents and agentic workflows for multi-step tasks and API usage.
• Integrate AI with REST APIs, databases, and enterprise apps.
• Develop human-in-the-loop workflows for validation and approval.
• Build backend services, data-processing workflows, and supporting APIs.
• Evaluate models for accuracy, reliability, and security; conduct feasibility studies.
• Use Azure AI, Foundry, Azure OpenAI, or similar platforms; deploy with Docker.
• Collaborate across business, IT, software, and engineering teams.
• Prepare architecture docs and POC/evaluation reports.

Skills

Python

AI engineering

Generative AI

Agentic AI

REST APIs

Cloud deployment

CI/CD

Linux

Education

Bachelor's degree in CS/AI

Master's degree in CS/AI

Tools

Docker

Git

Azure OpenAI

LangGraph

Job description

AI Engineer GenAI & Agentic AI

Department Global Automation Kitron India

Kitron India

Job Description

• Develop AI applications and POCs for business, operations, engineering, and manufacturing use cases.
• Build Generative AI solutions using LLMs such as GPT, Claude, Gemini, Llama, Phi, or similar models.
• Develop RAG solutions using company documents, databases, and enterprise knowledge.
• Design and develop AI agents and agentic workflows for multi-step business tasks, decision-making, and tool/API usage.
• Integrate AI solutions with REST APIs, databases, enterprise applications, and approved tools.
• Develop human-in-the-loop workflows for validation, approval, and exception handling.
• Build backend services, data-processing workflows, and supporting APIs for AI applications.
• Evaluate AI models and solutions based on accuracy, reliability, performance, cost, and security.
• Use Microsoft Azure AI, Microsoft Foundry, Azure OpenAI, or other suitable AI platforms.
• Develop and deploy AI applications using Docker in cloud or on-premise environments.
• Conduct technical feasibility studies, rapid prototyping, POCs, testing, and deployment.
• Collaborate with business, IT, software, engineering, and other technical teams to deliver practical AI solutions.
• Prepare solution architecture, technical documentation, and POC/evaluation reports.
• Continuously explore emerging Generative AI, Agentic AI, models, and frameworks.

Requirements

• Bachelor s or Master s degree in Computer Science, AI, Data Science, Electronics, IT, or a related field.
• 2 5 years of experience in AI engineering, software engineering, Generative AI, or related application development.
• Strong hands-on experience in Python and software development.
• Practical experience with LLMs, RAG, embeddings, vector databases, semantic search, and knowledge retrieval.
• Experience developing AI agents, agentic workflows, tool/function calling, or multi-step AI applications.
• Experience with frameworks such as Microsoft Agent Framework, Semantic Kernel, LangGraph, or equivalent.
• Strong experience with REST APIs, SQL databases, and system integration.
• Experience with Git, Docker, Linux, CI/CD, and cloud or on-premise deployment.
• Familiarity with Microsoft Azure, Microsoft Foundry, or Azure OpenAI is preferred.
• Understanding of AI evaluation, structured outputs, prompt engineering, hallucination mitigation, and responsible AI.
• Strong problem-solving skills with the ability to convert business requirements into practical AI solutions.
• Good communication skills and ability to work with technical and non-technical stakeholders.
• Ability to independently take an AI use case from assessment and architecture through POC, evaluation, and deployment.
• Exposure to computer vision, manufacturing, engineering, automation, or robotics is an added advantage.
• Willingness to continuously learn and experiment with emerging AI technologies.

We offer:

• Global team and projects
• Opportunities for personal and professional development
• Training and competence development courses.