
AI Engineer at Arena.im (São Paulo, Brazil)
Arena.im· São Paulo, Brazil·
Job description
About Arena:
Arena is a Series A company backed by top-tier investors such as CRV, Redpoint and Craft Ventures. Arena offers a unique work environment and the chance to collaborate with diverse teammates across multiple countries, with a culture of ownership (autonomy, growth, and responsibility).
We are a startup created in Silicon Valley with a mission to build communities for creators, publishers and brands with the power of AI. Companies using Arena include Disney, Reuters, Fox, Red Bull and NFL. We have +2,000 customers in 150 countries, with +50M users having conversations on Arena every month and engaging with our AI Agents.
Arena is also expanding its AI product portfolio with MyAvatar.AI, a multimodal platform that enables users to create intelligent, personalized AI avatars through voice, video, and conversational interfaces.
Sometimes you're stuck in a job that doesn't make sense, building AI features that never make it into production. If you enjoy turning cutting-edge AI into real products, solving complex problems, and seeing your work used by millions of users — then Arena is the company you're looking for.
About the Role:
We’re looking for an AI Engineer to build and scale AI-powered experiences across Arena and MyAvatar.AI. You’ll work closely with Engineering, Product, and other AI-focused teams to design, implement, evaluate, and improve AI systems that power conversational, voice, and multimodal experiences.
What you will be doing:
- Build and integrate AI-powered features and services into production applications.
- Develop LLM-powered applications using APIs, agents, RAG, tool calling, and structured outputs.
- Design and improve AI pipelines for conversational, voice, and multimodal experiences.
- Evaluate model quality, reliability, latency, and cost, and continuously improve AI performance.
- Build experiments and prototypes, then turn successful approaches into scalable production systems.
- Collaborate with Product and Engineering to translate business and user problems into practical AI solutions.
Must-Have Experience:
- 2+ years of experience in AI Engineering, Machine Learning Engineering, Software Engineering, or a similar technical role.
- Strong Python programming skills and experience building production software.
- Hands-on experience with LLMs, Generative AI, and AI APIs.
- Experience building applications with RAG, embeddings, vector databases, agents, or tool calling.
- Strong understanding of AI evaluation, prompt engineering, model behavior, and production trade-offs.
- Experience working with APIs, cloud infrastructure, and distributed systems.
- Strong problem-solving skills and ability to move quickly from prototype to production.
- Fluent English.
Nice-to-Have Experience:
- Experience with LangChain and LangGraph for building LLM applications, agents, and AI workflows.
- Experience with Node.js and TypeScript or other backend languages.
- Experience with AWS, serverless architectures, and cloud-native applications.
- Experience with real-time systems, WebSockets, GraphQL, or APIs.
- Experience with MongoDB, PostgreSQL, Redis, or other distributed data systems.
We also have some sweet perks like:
🔥 Be a part of the team in Silicon Valley and join a global team. 💪 A team of exceptional engineers leading the cutting-edge AI Agents. 💶 Competitive salary package & benefits. ⛱️ 4 weeks of paid time-off. 📖 Learning and Development budget. 🚀 Key moment to join Arena in terms of growth and opportunities. 💻 Ability to put your stamp on real-world AI applications that serve millions of users. 📚 Fast-learning environment, entrepreneurial and strong team spirit. 🌍 Multiple nationalities: cosmopolite & multi-cultural mindset. 💆♀️ Our people matter, work-life balance is important at Arena.
Why work at Arena.im
- Innovative Environment: A dynamic Silicon Valley startup at the forefront of AI and community-building technology.
- Global & Remote-Friendly Team: With offices in San Francisco and a large remote team in Brazil, the company offers flexibility. Open roles are listed as remote for Brazil-based candidates.
- Engineering-Led Culture: The largest department is Technical (18 people), indicating a strong focus on product and engineering excellence. The tech stack is modern and diverse (React, Python, Django, Typescript, Node.js, etc.).
- Growth Trajectory: As a well-funded Series A company with significant revenue ($7.5M) and a growing customer base, it offers the potential for high impact and career growth.
- Mission-Driven: The work directly impacts how millions of people interact with content and brands online, making it a compelling space for those interested in community, media, and user experience.