Job Purpose
We are seeking a dynamic AI Engineer to join our pioneering Agentic AI team. The ideal candidate will possess a strong foundation in delivering projects on both SaaS & PaaS based platforms, Prompt Engineering, UI development and development of APIs. You will be involved in end-to-end stage of development life cycle.
Duties and Responsibilities
Deliveries with respect to Agentic AI Platform: · Build and maintain autonomous software agents using state-of-the-art LLM frameworks. · Collaborate with product owners and domain experts to build reusable components for business process automation. · Develop core infrastructure and reusable components to support the deployment of agent-based AI systems. · Work on agent orchestration, prompt engineering, and LLM-powered integrations. · Implement scalable solutions integrated with CRM systems and enterprise data platforms. · Contribute to the design of modular, extensible, enterprise-grade architecture. · Fine-tune and evaluate AI agents for speed, accuracy, performance and maintainability across business units. · Contribute to CI/CD automation and maintain operational stability of agent services. Generative AI & Model Optimization: · Writing and Optimizing Prompts · Fine-tune LLMs/SLMs with proprietary NBFC data. · Perform distillation, quantization of LLMs for edge deployment. · Evaluate and run LLM/SLM models on local/edge server machines. Self-Learning Frameworks: · Build self-learning systems that adapt without full retraining (e.g., learn new rejection patterns from calls). · Implement lightweight local models to enable real-time learning on the edge.
Key Decisions / Dimensions
Platform Design & Delivery, Model Selection, Customization (if any) & Testing: · Choosing the right model for various agentic and autonomous actions. · Selecting appropriate model so that Agents can complete the autonomous tasks in efficient manner. · Defining reusable components in the platform.



Delivery using configuration approach should be first preference, in case that does not work should go for customization. · Defining configuration parameters and incorporate them as platform design. · Testing and end to end testing of the project deliverable. · Load balancing between different models. · Always have switch on/switch off feature. · Must have all services backed up on primary/HA & DR servers. Prompt Engineering: · Prompt Design & Development: Crafting prompts that guide AI systems to produce desired outputs for various applications, such as text generation, translation, question answering, and creative writing.
Testing and Evaluation: Analysing the effectiveness of prompts and refining them based on results to ensure accurate and relevant responses. · Bias Mitigation: Designing prompts that minimize bias and ensure fair and equitable outcomes from AI systems.
Major Challenges
Support from other platform owners · Agents must learn from failed interactions · Building a Agents that doesn't just answer but negotiates with human-like reasoning. · Running large AI models in low-latency, low-bandwidth environments without cloud dependency. · Getting the end-to-end domain knowledge Managing data and information security of the agentic application.
Required Qualifications and Experience
a) Qualifications · Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. · Experience: 2–4 years of experience in Data Technologies like Data Lake, Fabric, Data bricks etc.

b) Work Experience

· Strong understanding of prompt engineering, tool calling, and agent orchestration.

· Good understanding of Data Platforms Like Data Lake, Data Bricks & MS Fabric

· Must have positive understanding of Microsoft Fabric Data Agents

· Understanding of Microsoft Copilot Studio, Power Automate, and Power BI

· Familiarity with the Agent Development Kit (ADK) and protocols like MCP & A2A

· Familiarity with LangChain, Semantic Kernel, CrewAI, or LangGraph.

📌 Senior Product Specialist (Pune)
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