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.