P1C3STSDesign and develop AI agents and multi-agent systems.Integrate AI solutions with enterprise platforms (JIRA, GitHub, ServiceNow, Teams,SharePoint, databases, APIs, etc.).Build workflow automation and orchestration solutions.Develop AI-accessible tools using APIs, MCP, webhooks, and event-driven
architectures.Implement RAG and knowledge retrieval solutions.Design dashboards and reporting solutions using enterprise JIRA data.Optimize token usage, context management, and AI operating costs.Implement governance, monitoring, security, and human-in-the-loop controls.Bachelor's degree in computer science, Engineering, or related field.
2+ years of hands-on AI/LLM application development.Strong experience with enterprise application integrations.
Technical SkillsAI & Agents LLMs, Agentic AI, Multi-Agent Systems, Prompt Engineering, Retrieval-
Augmented Generation (RAG), Semantic Kernel, LangGraph, Microsoft AutoGen, AIGovernance, Responsible AI, GitHub Copilot, Microsoft CopilotIntegration APIs, Webhooks, MCP, OAuth, Workflow Automation
Knowledge Systems RAG, Semantic Search, Vector Databases, Embedding
Models, Context Engineering, Retrieval OptimizatioToken Economy Context Engineering, Retrieval Optimization, Memory
Management, Cost OptimizationData & Analytics Python, SQL, ETL/ELT, Data Pipelines, Data Modeling, Power BI,
Tableau, Data Visualization, Operational Metrics & Reporting
Cloud & DevOps AWS/Azure, Docker, Kubernetes, CI/CD, GitHub Actions, Azure
DevOps, Automated Testing, Secure SDLC, DevSecOps, Release Automation.
Experience building enterprise AI platforms.Experience integrating multiple business systems and tools.
• Experience with agent governance, observability, and security.
• Experience delivering production-grade AI automation solutions.