AI Engineer

Aghanim; Lisboa; Presencial; EUR 60 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

High growth, high impact environment

Modern tools and technology

Resumo da oferta

Aghanim is seeking an AI Engineer in Lisbon to design and build production-grade multi-agent systems that solve real business problems. The role focuses on engineering reliable AI systems, requiring strong systems thinking and the ability to translate complex problems into robust AI architectures.

Key responsibilities include implementing multi-agent systems and building multimodal AI workflows. Candidates should have commercial experience with Python and LLM systems.

Join a world-class team that values autonomy, ownership, and a trust-based work environment.

Qualificações

• Strong Python backend development experience, including asynchronous services and API integrations.
• Commercial experience building production multi-agent LLM systems.
• Experience with modern agent frameworks (e.g., LangGraph, LangChain, AutoGen).

Responsabilidades

• Design and implement production-grade multi-agent systems.
• Build multimodal AI workflows and integrate multiple model providers.
• Implement testing, evaluation, observability, and reliability practices.

Conhecimentos

Python backend development

Production multi-agent LLM systems

Agent orchestration

Multimodal AI applications

Vector databases

Ferramentas

LangGraph

LangChain

AutoGen

Descrição da oferta de emprego

Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.

Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.

Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.

We are looking for an AI Engineer to design and build production-grade multi-agent systems that solve real business problems.

This role is focused on engineering reliable AI systems rather than training models. You will work across agent orchestration, tool integration, workflow automation, and platform APIs to build solutions that deliver measurable outcomes for users.

Success in this role requires strong systems thinking, ownership, and the ability to translate complex problems into robust AI-driven architectures.

Key Responsibilities

• Design and implement production-grade multi-agent systems, including orchestration, routing, memory, tool execution, and fallback strategies
• Build multimodal AI workflows and integrate multiple model providers
• Develop custom tools, MCP servers, and integrations with internal platform APIs
• Analyze existing APIs and codebases to extend platform capabilities where required
• Implement testing, evaluation, observability, and reliability practices for AI systems
• Investigate and improve agent behavior, performance, and system robustness

Required Qualifications

• Strong Python backend development experience, including asynchronous services and API integrations
• Commercial experience building production multi-agent LLM systems
• Experience with modern agent frameworks such as LangGraph, LangChain, AutoGen, CrewAI, LlamaIndex, or PydanticAI
• Strong understanding of agent orchestration, tool calling, routing, memory, and autonomous workflows
• Experience building multimodal AI applications and integrating multiple model providers
• Experience with vector databases, caching layers, and AI application infrastructure
• Experience implementing testing, debugging, observability, and evaluation practices for AI systems
• Familiarity with the gaming industry, analytics, payments, or similar transaction-heavy domains

Important: Commercial experience is required; personal projects alone are not sufficient.

Preferred Qualifications

• ML background or practical machine learning experience
• Experience building evaluation, benchmarking, or observability systems for AI applications
• Experience working with large and complex API ecosystems

Why Join Us

• World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players
• High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months
• Autonomy and ownership – we trust people to make decisions, take initiative, and drive results
• Modern tools and technology – use AI, automation, and modern tools as part of your everyday work
• Equity – participate in the company's growth and long-term success