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 the development of APIs. You will be involved in the end-to-end stage of the development life cycle.

Duties and ResponsibilitiesDeliveries 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 the 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 / DimensionsPlatform 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 an efficient manner.

- Defining reusable components in the platform. Delivery using configuration approach should be the first preference; in case that does not work, should go for customization.

- Defining configuration parameters and incorporating them as platform design.

- Testing and end-to-end testing of the project deliverable.

- Load balancing between different models.

- Always have a 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: Analyzing 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 agents that don't just answer but negotiate 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 Experiencea) 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.

- Valuable understanding of Data Platforms like Data Lake, Data Bricks &
- MS Fabric.

- Must have a good 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.

Locations - BASIC SECTION

- Job Level: GB04

- Job Title: Senior Unit Manager - AI Unit, Agentic AI, Agentic AI - Tech

- Job Location:

- Country: India

- State: MAHARASHTRA

- Region: West

- City: Pune

- Location Name: Pune Corporate Office - Mantri Tier Megapolis

📌 Unit Manager - AI Unit/Senior Unit Manag... (India)
🏢 Bajaj FinServ
📍 India