AI Engineer

Bengaluru, Karnataka | Full Time

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About Neudesic

Passion for technology drives us, but it’s innovation that defines us. From design to development and support to management, Neudesic offers decades of experience, proven frameworks, and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster.

What sets us apart from the rest is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you.

Job Summary

We are looking for an experienced AI Engineer with expertise in Agentic AI, Intelligent Applications full-stack application development using .NET, Node.js, Python, and front-end technologies like React.js and/or Angular and leveraging Large Language Models (LLMs), and relevant machine learning models. This role focuses on designing and deploying autonomous AI agents leveraging Azure AI Foundry, Azure Agent AI Service, Azure OpenAI, LangGraph, AutoGen, Hugging Face, and Semantic Kernel within enterprise applications.

You will architect, develop, and integrate LLM-driven applications that run on Microsoft’s Azure AI ecosystem, enabling intelligent automation, knowledge retrieval, and decision-making systems. This role requires expertise in AI orchestration, multi-agent systems, full-stack development, and enterprise AI integration.

As a key member of our AI innovation team, you will work on end-to-end AI solutions, including backend APIs, AI-powered microservices, and dynamic frontend interfaces to deliver cutting-edge AI-driven enterprise applications.

Key Responsibilities

AI Agent Development & Autonomous Systems

Develop LLM and AI/ML - powered, AI agents using Azure AI Foundry, Azure Agent AI Service, LangGraph, and AutoGen / Semantic Kernel.

Design and implement multi-agent AI workflows with reasoning, goal-driven planning, and adaptive memory.

Utilize Semantic Kernel for long-term memory, function calling, and RAG-based workflows.

Leverage Azure AI Foundry for orchestrating and fine-tuning AI models in production environments.

LLM & AI Integration in Full-Stack Applications

Deploy GPT-4, Phi-3, and Hugging Face models on Azure OpenAI for intelligent automation.

Integrate LLM-based services into .NET or Node.js APIs for enterprise-grade AI applications.

Develop React.js-based AI-powered UIs, embedding natural language interfaces and AI copilots.

Implement vector search & retrieval with Azure Cognitive Search, Pinecone, and FAISS.

Full-Stack AI Application Development

Develop backend AI APIs using .NET Core or Node.js, integrating with Azure AI services.

Build interactive AI-driven UIs using React.js, TypeScript, and Microsoft Fluent UI.

Implement AI-assisted chatbots, copilots, and intelligent workflow automation in enterprise applications.

Ensure scalability, performance, and security in AI-powered web applications.

Enterprise AI & Microsoft Ecosystem Integration

Build LLM-driven enterprise copilots for Microsoft 365, Teams, and Power Platform.

Develop AI-powered chatbots and assistants that integrate with Microsoft Graph API & Azure AI Studio.

Implement workflow automation with AI agents in Power Automate & Azure Logic Apps.

Enhance enterprise search and knowledge management using Azure Cognitive Search & Vector Databases.

AI Performance Optimization & Responsible AI

Optimize LLM token efficiency, reducing latency and improving cost-effectiveness.

Implement prompt engineering, retrieval caching, and fine-tuned model deployment.

Ensure compliance with Azure AI Content Safety, Responsible AI best practices, and enterprise AI governance.

Build AI monitoring & explainability tools to track LLM-generated outputs and mitigate risks.

Collaboration & AI Strategy

Work with Data Scientists, Software Engineers, and Cloud Architects to develop AI-powered applications.

Advocate for best practices in multi-agent AI engineering and AI-assisted application development.

Stay updated on the latest Azure AI innovations and enterprise AI trends.

Contribute to open-source AI projects and Microsoft AI research initiatives

Preferred Qualifications

Microsoft AI Certifications (Azure AI Engineer Associate, AI-102, DP-100).

Experience with multi-modal AI models, LLMOps, and Reinforcement Learning from Human Feedback (RLHF).

Background in cognitive architectures, explainable AI (XAI), and enterprise AI governance.

Contributions to open-source AI frameworks (LangGraph, AutoGen, Semantic Kernel, Transformers).

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Neudesic Is An Equal Employment Opportunity Employer

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: https://www.ibm.com/us-en/privacy?lnk=flg-priv-usen

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