Design and deploy agentic AI systems for media planning, campaign optimization, performance monitoring, reporting, and insight generation. Build Python and FastAPI backend services, LLM-powered conversational interfaces, RAG applications, autonomous agents, ML pipelines, predictive models, and analytics dashboards. Conduct rigorous A/B testing and collaborate with product and analytics teams to improve advertising outcomes.
About iion
iion is the leading global game advertising platform, reaching brands’ ideal customers across all gaming environments. We are ambitious trailblazers, aiming to be an indispensable element in brands' media strategy. We are a growing team of 50+ people, working primarily remote, headquartered in Australia and consisting of teams working across APAC and Europe.
About the Role
We’re seeking a talented and enthusiastic AI Engineer to join our growing team at iion.io. You’ll play a key role in designing and deploying agentic AI systems that power the full lifecycle of media planning, campaign optimization, and performance monitoring. This includes building task-specific agents for autonomous budget allocation, KPI tracking, real-time reporting, and insight generation using Agentic RAG and LLM-integrated conversational interfaces.
If you thrive at the intersection of backend engineering and applied AI - and want to shape how automation drives smarter media outcomes - this role is for you.
Role Responsibilities:
- Design, build, and deploy scalable RESTful/async backend services using FastAPI and Python
- Architect and implement intelligent agent workflows (ReAct) using frameworks like LangChain, LangGraph, Crew AI, and LlamaIndex
- Create advanced conversational analytics and reporting interfaces integrated with large language models (LLMs)
- Deploy efficient retrieval-augmented generation (RAG) systems for actionable insights and automation
- Develop autonomous agents for media planning, campaign execution, performance monitoring, and continuous optimization
- Collaborate with product and analytics teams to define metrics, performance dashboards, and real-time analytics insights
- Implement and monitor ML pipelines to support campaign optimization
- Design, conduct, and interpret A/B tests with clear methodologies and statistical rigor
- Develop and implement predictive models to support decision-making processes and forecasting
Role Requirements:
- 2 - 4 years backend Python (FastAPI/Flask) or data engineering experience
- 1.5 - 2 years building and deploying agentic AI solutions (ReAct agents, RAG applications)
- Proficiency in async programming (asyncio), AWS, and CI/CD tools
- Hands-on experience building agentic AI systems using frameworks like LangChain, LangGraph, Crew AI, or LlamaIndex, with practical integration of LLMs (e.g., GPT, Claude) and vector databases such as Chroma or Pinecone
- Solid understanding of A/B testing, hypothesis testing, and predictive modeling
- Proactive attitude, strategic mindset, and ability to adapt quickly in a dynamic environment
- Ambitious with strong values of collaboration, agility, and willingness to challenge the status quo
- Bachelor’s/ Master's degree in Computer Science, Data Science, AI/ML, or related fields, or equivalent practical experience
*This is a fully remote role, with a preference for candidates based in Mumbai, New Delhi, Bangalore, Hyderabad
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