Agentic AI Engineer temp

Job description

Agentic AI Engineer - temp

Dubai, United Arab Emirates | Posted on 09/30/2025

AgenticAI Automation Engineer - Internal Tooling & AI

Temp 6 months contract

MeetmyZoi

myZoi is changing lives for the better for those who serve it the most.

We are an exciting fintech start‑up aiming to promote financial inclusion globally.

Our vision is to provide a level playing field to the unbanked and the underbanked in accessing essential financial services in an affordable, convenient, and transparent fashion.

We are looking for smart, ambitious, and purpose‑driven individuals to join us in this journey.

About the Role

As the Agentic AI Engineer you will drive internal productivity through agentic AI orchestration and intelligent automation of business processes.

Architect, develop, and deploy production‑grade autonomous agent systems that execute multi‑step workflows with minimal human intervention, streamlining operations across business, technology, operations, compliance, and risk functions while maintaining compliance in our regulated fintech environment.

You'll work with AWS and the Atlassian ecosystem to create multi‑agent workflows that augment human decision‑making and automate manual processes end‑to‑end.

As part of our Platform Team comprising Data Analysts, Data Engineers, and AI Specialists, you'll implement scalable, secure AI solutions that empower every employee, team, and process.

Key Responsibilities

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

• 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.
  
  
• 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.
  
  

Required Skills & Qualifications

Core Experience

• 4–6 years in software development with AI/ML focus.
  
  
• Proven success deploying agent‑based AI systems in production.
  
  
• Strong Python and TypeScript skills; familiarity with FastAPI, Flask, and Atlassian APIs.
• Hands‑on experience with LLMs, prompt engineering, and agent frameworks (LangChain, CrewAI, etc.).
  
  
• Deep understanding of RAG, vector search, embedding models, and retrieval optimization.
  
  
• Expertise in AWS (Bedrock, Lambda, Step Functions, S3, EventBridge).
  
  
• Familiarity with serverless, Docker, Terraform, and CI/CD pipelines.
  
  
• Solid experience in Jira, Confluence, Forge, Rovo, and Atlassian APIs.
• Strong experience in automation and workflow development in Atlassian Cloud.
  
  
• Strong problem‑solving and debugging skills.
  
  
• Excellent communication and cross‑functional collaboration.
  
  
• Familiarity with DevSecOps, observability, and ethical AI practices.
  
  
• Experience with multi‑agent orchestration patterns (e.g., planner‑worker, chain‑of‑thought, reflection) nice to have.
  
  
• Familiarity with human‑in‑the‑loop and agent evaluation frameworks nice to have.
  
  
• Exposure to MLOps, multi‑modal AI, and cross‑platform cloud development nice to have.
  
  
• Experience with Kubernetes, graph databases, and event‑driven architecture nice to have.
  
  

What We Offer

• Opportunity to make a global impact by improving financial access for underserved populations.
  
  
• Collaborative, inclusive work environment that values diverse perspectives.
  
  
• Cutting‑edge work with latest agentic AI technologies, frameworks, and best practices.
  
  
• Competitive compensation and benefits package.
  
  
• Professional growth and development opportunities.
  
  

At myZoi we strive to create both a product and a team that embraces equality, inclusion, diversity, and freedom.

We want people who can be themselves and bring their own brand of value to the team.

Come and join us!

Required Skill Profession

Other General