Senior AI Engineer

Bajaj Finserv


Date: 10 hours ago
City: Pune, Maharashtra
Contract type: Full time
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 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.


Educational Qualifications

Required Qualifications and Experience

  •  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.

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