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Senior AI Engineer

2 weeks ago

Pune, Maharashtra, India Bajaj Finance Full time US$ 90,000 - US$ 1,20,000 per year

Job Purpose

We are seeking a dynamic AI Engineer to join our pioneering Conversational Text AI team. The ideal candidate will possess a strong foundation in model development, UI development and development of APIs, multi-system integrations. You will be involved in end-to-end stage of development life cycle.

Duties and ResponsibilitiesDeliveries with respect to Conversational Text AI Platform:

  • Build and maintain Conversational Text AI system using state-of-the-art LLM frameworks.
  • Collaborate with product owners and domain experts to build reusable components for business process.
  • Develop core infrastructure and reusable components to support the deployment of conversational AI systems.
  • Work on orchestration, prompt engineering, and LLM-powered integrations.
  • Implement scalable solutions integrated with respective echo systems and enterprise data platforms.
  • Contribute to the design of modular, extensible, enterprise-grade architectures.
  • Fine-tune & optimization for speed, accuracy, performance and maintainability across business units.
  • Contribute to CI/CD automation and maintain operational stability of application 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 / DimensionsPlatform Design & Delivery, Model Selection, Customization (if any) & Testing:

  • Choosing the right model for various task and actions.
  • Selecting appropriate model so that tasks can complete 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
  • Building a Conversational Text AI BOT 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 application.

Required Qualifications and ExperienceEducational Qualifications

  • Educational Background: Bachelors or Masters 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, HTML/CSS, Redis, Postgres, Azure COSMOS, DevOps, CI/CD.
  • Strong programming s in languages such as Python, Node.JS, JavaScript, HTML/CSS.
  • Familiarity with Redis, Postgres, Vector Embeddings, Speech-to-Text & Text-to-Speech Services, Azure COSMOS, DevOps, CI/CD, Lang-Chain or Lang-Graph.
  • Experience building with or integrating LLMs for task automation, reasoning, or autonomous workflows
  • Strong understanding of prompt engineering, tool calling, and agent orchestration.