Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with modern development frameworks and following agile methodologies to ensure the delivery of scalable and efficient software that meets unique business requirements. Collaboration with different teams and continuous refinement of software elements are integral parts of the daily workflow, contributing to the overall success of projects and organizational goals.
Lead enterprise AI/GenAI training programs to build scalable talent capability. Drive AI adoption through curriculum design, hands-on delivery, and trainer enablement aligned to business needs.
Key Responsibilities
Deliver instructor-led trainings on AI, GenAI, LLMs, Prompt Engineering, RAG, and Agentic AI
Design structured learning paths (foundation advanced) and develop course content
Lead Train-the-Trainer (TTT) programs to scale instructor base
Drive AI capability building and adoption across business units
Track learning effectiveness (feedback, completion, impact)
Collaborate with stakeholders to identify skill gaps and define training programs
Embed Responsible AI and governance principles in all trainings
Skills Required
Strong expertise in GenAI, LLMs, Prompt Engineering, RAG
Hands-on experience with AI tools (OpenAI, Azure AI, Vertex AI, LangChain)
Proven training, facilitation, and curriculum design capability
Excellent communication and stakeholder management
Experience
8–12+ years overall experience
3–5+ years in AI/GenAI training or development
15 years full time education
