Senior AI Engineer

Location Name:

Job Purpose

Duties And Responsibilities

•  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 / Dimensions

•  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.
  

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, HTML/CSS, Redis, Postgres, Azure COSMOS, DevOps, CI/CD.
• Strong programming skills 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.