Senior AI Engineer

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 Responsibilities
Deliveries 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 / Dimensions
Platform 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 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, 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.

---