Sr AI Engineer

Job Description

About The Company :

iLink is a Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink's expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc.

What makes iLink Systems' offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.

Requirements

Key Responsibilities

• Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems .
• Candidate should have good hands-on -Design & Development - Full SDLC in Python, .Net and Strong in Gen AI area .
• Interact directly with customers to understand requirements, propose solutions, and ensure successful delivery.
• Design and implement AI-driven features such as chatbots, recommendation engines, Agentic AI, and automation tools.
• Build secure and scalable AI pipelines that integrate with enterprise systems and cloud platforms.
• Evaluate and apply AI frameworks, libraries, and platforms aligned with business and technical needs.
• Select and implement machine learning algorithms, NLP models, and other Gen AI technologies.
• Ensure compliance with data privacy, security, and ethical standards in all AI / ML implementations.
• Stay current with advancements in Gen AI tools and recommend their adoption within engineering teams.
• Provide technical mentorship to developers and engineers working on AI initiatives.
• Maintain clear documentation and architecture diagrams for deployed AI solutions.

Qualifications

Preferred Qualifications

Benefits