OutSystems is looking to solve the problem of enterprises struggling with AI adoption due to governance issues, data readiness, and talent gaps, as well as overcoming challenges posed by legacy systems. The company aims to provide a platform that enables enterprises to build, deploy, and scale AI-powered applications and agents rapidly, accelerating innovation and enabling secure, governed human-AI collaboration.
Requirements
- 5+ years of experience building production software, with demonstrated ability to own and deliver complex features end-to-end.
- Strong hands-on experience with Python; ability to write clean, maintainable, and performant code.
- Practical experience working with LLMs, AI agents, or ML systems—whether in industry, research, or open-source projects.
- Experience designing and consuming REST/gRPC APIs; understanding of distributed systems patterns (queues, event-driven architectures, microservices).
- Working knowledge of containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, Azure, or GCP).
- Experience with low-level network code, forwarding plane implementations, packet processing, or socket programming.
- Background building concurrent, fault-tolerant network servers using Elixir or Erlang/OTP.
Responsibilities
- Design and implement production-grade components for AI agents—tools, orchestration logic, memory systems, and integrations with enterprise data sources.
- Own the quality of your deliverables, writing robust, well-tested code that operates reliably in production environments.
- Profile and optimize agent behavior, API latencies, and resource consumption to meet enterprise-scale demands.
- Develop connective tissue between AI agent backends and the OutSystems low-code platform, ensuring seamless data flow and secure API contracts.
- Contribute to the design of software abstractions that enable agents to reason about and interact with complex legacy systems and modern architectures alike.
- Collaborate with researchers, product managers, and platform engineers to translate requirements into working solutions.
- Support the growth of engineers through code reviews, pairing sessions, and knowledge sharing.
Other
- Academic Contributors Welcome: We value candidates from research backgrounds—whether you completed a PhD, contributed to open-source projects during your studies, or built software to support your research in mathematics, physics, philosophy, or computational sciences.
- Abstraction Thinkers: If you've written code that models complex systems—whether that's physics simulations, formal logic systems, or distributed algorithms—we want to hear from you.
- Systems Thinker: You understand how software systems fit together and can reason about data flow, state management, and failure modes.
- Independent Driver: You take ownership of problems and drive them to completion with minimal hand-holding.
- Collaborative Builder: You communicate clearly, give and receive feedback constructively, and enjoy working in a team that values both research and delivery.
