Agentic AI Engineer

AI Agent Design & Development

• Design and deploy intelligent agents for multi-step, autonomous workflows.
• Implement reasoning, memory, and decision-making in agent orchestration.
• Develop reusable templates and agent patterns for common automation use cases.
• Integrate human-in-the-loop and feedback mechanisms where needed.

Agent Frameworks & Orchestration

• Build with frameworks like LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel.
• Extend framework capabilities with custom agent components.
• Implement task delegation, coordination, and version control for agent behavior.

RAG & Knowledge Integration

• Develop RAG pipelines for context-aware decision-making.
• Optimize chunking, embedding, and search strategies using vector DBs (e.g., Pinecone, Weaviate).
• Integrate enterprise knowledge from Jira, Confluence, documentation, and more.

Tool & API Integration

• Enable agents to interact with AWS, Atlassian Cloud, and internal APIs.
• Build tool interfaces for agents to query databases, perform actions, and access services securely.

Multi-Agent Systems

• Orchestrate collaborative agents (e.g., planner, executor, reviewer) to handle complex workflows.
• Design communication protocols, routing logic, and error handling strategies.

Performance, Monitoring & Optimization

• Monitor agents using tools like LangSmith, CloudWatch, custom dashboards.
• Debug behavior (hallucinations, latency, token usage) and run A/B tests for optimization.
• Ensure secure, scalable, and cost-effective operation at production scale.

Production Deployment (AWS)

• Deploy AI agents using AWS Bedrock, Lambda, Step Functions, EventBridge.
• Build CI/CD pipelines, implement rollback strategies, and handle concurrency at scale.
• Ensure compliance, governance, and security across automation flows.

Atlassian Ecosystem Automation

• Develop Forge apps with embedded agent capabilities.
• Build agents to automate Jira workflows, incident triage, ticket routing, and Confluence content generation.
• Configure Atlassian Rovo as a knowledge source for AI agents, maintain and continuously improve.

Collaboration & Documentation

• Partner with cross-functional teams to identify automation opportunities.
• Translate business needs into robust agentic solutions.
• Document best practices, templates, and reusable components.
• Mentor peers in agentic AI workflows and frameworks.