Location Name: Pune Corporate Office - Mantri
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
- 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.
- 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 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.
