Senior AI Engineer

AI UnitPune Corporate Office - Mantri

Posted On

20 Aug 2025

End Date

20 Aug 2026

Required Experience

4 - 7 Years

BASIC SECTION

Job Level

GB04

Job Title

Senior AI Engineer - AI Unit, Agentic AI, Agentic AI

Job Location

Country

India

State

MAHARASHTRA

Region

West

City

Pune

Location Name

Pune Corporate Office - Mantri

Tier

Tier 1

Skills

SKILL

SKILLS AS PER JD

Minimum Qualification

OTHERS

JOB DESCRIPTION

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 model development, 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 architectures.

• 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:

- 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

Educational Qualifications

- Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Experience: 4–7 years of experience in AI/ML, with exposure to Python, Node.JS, JavaScript, React, Java.

• Good understanding of Google GCP/Microsoft Foundry + MS CoPilot Studio/ Agentforce or Equivalent.

• Strong programming skills in languages such as Python, Node.JS, JavaScript, React, Java.

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

• Experience building with or integrating LLMs for task automation, reasoning, or autonomous workflows

• Understanding of Microsoft Copilot Studio, BigQuery, Power Apps, and Power BI

• Familiarity with the Agent Development Kit (ADK) and MCP (Multi-agent Communication Protocol)

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