SeniorFull TimeEN
About The Company:
iLink Digital 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's 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.
Key Responsibilities:
· Architect and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical queries.
· Leverage LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation.
· Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.
· Collaborate with domain experts to align agent behavior with technical expectations and constraints.
· Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.
· Continuously optimize prompting, agent orchestration, and performance under real-world conditions.
Required Skills and Experience:
· Demonstrated expertise in building Agentic AI architectures, using frameworks like LangChain, AutoGen, CrewAI, or custom stacks.
· Strong foundation in LLM-based NLP, prompt engineering, and context-aware reasoning.
· Advanced Python programming and experience deploying AI workflows in cloud or containerized environments.
· Ability to work with APIs, data models, and external toolchains across complex systems.
· Comfortable operating independently with minimal supervision in a cross-functional environment.
Nice to Have:
· Exposure to industrial domains such as energy, manufacturing, or heavy engineering.
· Understanding of vector databases, knowledge graphs, and retrieval-augmented generation.
· Familiarity with Azure or AWS development environments.
Certifications:
· Azure AI Engineer or Azure Data Engineer certification is a plus.
· AWS experience is nice to have, but not required.
Industry Experience:
· Oil and gas domain experience is a strong advantage, especially familiarity with digital operations or engineering workflows.
