Sr Developer (AI/LLM Application Development)

Lead Developer for the AI-assisted RADAR (Rapid Application Defect and Resolution) project.

Key accountabilities include:

·       Develop AI-powered features and capabilities for RADAR using Secure GPT.

·       Build and maintain MCP integrations with SharePoint-hosted testing-result repositories.

·       Design and optimize data ingestion and analysis workflows for testing-result intelligence.

·       Ensure solution reliability, data quality, security, and compliance.

·       Provide technical support, documentation, and continuous enhancements to the RADAR platform.

Qualifications

·       Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related field.

·       6-10 years of professional experience in software development, enterprise application development, or solution engineering.

·       Relevant certifications in AI, cloud, software engineering, or enterprise architecture are an advantage.

·       Training or certification in Generative AI, Large Language Models (LLMs), AI Agents, MCP, or intelligent automation solutions is preferred.

Strong understanding of enterprise security, data privacy, and governance principles

Experience

·       Proven experience developing AI-powered applications using LLMs, Generative AI, and AI agents.

·       Hands-on experience with MCP (Model Context Protocol) or similar AI orchestration frameworks.

·       Experience building AI assistants, copilots, and intelligent decision-support solutions.

·       Experience integrating enterprise systems, including SharePoint, APIs, databases, and document repositories.

·       Experience implementing RAG solutions, data ingestion pipelines, and vector-based search technologies.

·       Strong experience in Java and/or Python, REST APIs, and enterprise application development.

·       Experience developing and deploying secure, scalable cloud-native solutions using containers and CI/CD practices.

·       Experience supporting production systems, troubleshooting complex issues, and driving continuous improvements

CORE COMPETENCIES:

·       AI & MCP Development - Proven experience building AI-powered solutions using MCP or similar agent orchestration frameworks. (Mandatory)

·       Enterprise Integration - Ability to integrate AI applications with SharePoint, APIs, enterprise systems, and structured data sources. (Mandatory)

·       Data Analysis & Insight Generation - Skilled in transforming testing-result data into actionable insights, summaries, and recommendations.(Mandatory)

·       Problem Solving - Strong analytical and troubleshooting skills across AI, integration, and data processing components. (Mandatory)

·       Security & Governance - Understanding of AI governance, data privacy, security controls, and responsible AI practices.

·       Collaboration & Innovation - Effective stakeholder engagement and continuous improvement mindset for advancing AI capabilities.