Jobs and Careers
IL
Sr AI Engineer
iLink DigitalUnited Statesfull_timeVerifiedPosted 10 Sept 2025
About the role
About
The Company:
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
- Proven experience as an AI
Engineer, Machine Learning Engineer, or similar role, with a portfolio of
delivered AI/Gen AI solutions.
- Proficiency in AI platforms and
tools such as Azure OpenAI, Hugging Face, and LangChain ecosystem
(LangGraph, LangSmith, LangFuse).
- Strong programming skills in
Python, C#, and Node.js, with experience in API development and system
integration.
- Expertise in NLP, machine
learning, deep learning, or computer vision.
- Experience with Azure and
AWS cloud platforms and their AI/ML services.
- Familiarity with
enterprise application development and full-stack technologies.
- Hands-on experience with
chatbot development, automation frameworks, and AI-based decision systems.
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