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6-10 Years
Early Applicant
  • Posted 14 days ago
  • Be among the first 10 applicants

Job Description

JOB TITLE:

Sr. Developer

KEY ACCOUNTABILITIES:

Development and implementation of 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.

EXPERIENCE AND QUALIFICATIONS:

1. 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.

2. 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

3. Skills

  • See below Core Competencies

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.

More Info

Job Type:
Industry:
Employment Type:

Key Skills

Generative AI

MCP (Model Context Protocol) or similar AI orchestration frameworks

Vector-based search technologies

Responsible AI practices

Cloud-native solutions

RAG solutions

AI agents

AI governance

SharePoint APIs

Data ingestion pipelines

Large Language Models (LLMs)

CI/CD practices

Containers

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