Experience : 5+yrs.

Shifts : 8am -5 pm.

Work Shift : Hybrid.

We are seeking highly skilled, hands-on developer who thrive on solving complex problems, exploring cutting-edge technologies, and making things work in real-world environments.

Youll work on next-generation automation and AI-driven solutions involving scripting, intelligent business processes, integrations, and emerging AI paradigms such as Generative and Agentic AI.

Key Responsibilities:

Development and Architecture :

- Develop, customize, and maintain automations using Groovy (primary), and optionally PowerShell, MS Graph API, or Python.

- Build and enhance reusable components, scripts, and connectors.

- Design and architect solutions across various platforms.

- Working knowledge of Application development.

AI & Natural Language Understanding :

- Work with Natural Language Understanding (NLU) models understand how they work, how to prepare and label data, and how to train, evaluate, and optimize them.

- Implement Generative AI use cases including prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning pre-trained models.

Agentic AI & Contextual Systems :

- Design and develop Agentic AI solutions leveraging prompt chaining, context engineering, and multi-agent frameworks.

- Integrate with APIs (REST, MCP, and custom) to enable dynamic, context-aware AI workflows.

Business Process Design :

- Translate functional requirements into robust, scalable business processes.

- Implement these processes using no-code / low-code platforms (e.g., ServiceNow, Power Automate) combined with custom scripting and API integrations.

System Integrations :

- Integrate solutions with ServiceNow, Microsoft Teams and various on-premise and cloud services.

Testing & Quality :

- Design and execute comprehensive test strategies for automation scripts, AI models, and integrations.

- Ensure reliability, scalability, and performance across environments.

Skills & Experience :

Required :

- Strong scripting experience (Groovy ; PowerShell, MS Graph, Python).

- Working knowledge of NLU / ML lifecycle (data prep, training, evaluation).

- Proven experience in designing business workflows and process automations.

- Hands-on integration experience with enterprise systems (ServiceNow, Teams, APIs).

- Deep curiosity and problem-solving mindset must enjoy experimentation.

- Excellent command of English (written and spoken).

Preferred / Nice to Have :

- Experience with Apache Camel or other integration frameworks.

- Familiarity with Generative AI, RAG, Prompt Engineering.

- Understanding of Agentic AI concepts (context handling, multi-agent orchestration, REST/MCP integration).