OutSystems is looking to solve the problem of building the next generation of agentic applications that help enterprises modernize and automate at scale, by working at the intersection of AI research and enterprise software delivery.
Requirements
- Software Engineering Foundation: 5+ years of experience building production software, with demonstrated ability to own and deliver complex features end-to-end.
- Python Proficiency: Strong hands-on experience with Python; ability to write clean, maintainable, and performant code.
- AI/ML Systems Exposure: Practical experience working with LLMs, AI agents, or ML systems—whether in industry, research, or open-source projects.
- API & Integration Skills: Experience designing and consuming REST/gRPC APIs; understanding of distributed systems patterns (queues, event-driven architectures, microservices).
- Cloud-Native Familiarity: Working knowledge of containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, Azure, or GCP).
- Network Programming: Experience with low-level network code, forwarding plane implementations, packet processing, or socket programming.
- Elixir/Erlang: Background building concurrent, fault-tolerant network servers using Elixir or Erlang/OTP.
Responsibilities
- Build Agent Components: Design and implement production-grade components for AI agents—tools, orchestration logic, memory systems, and integrations with enterprise data sources.
- Quality & Reliability: Own the quality of your deliverables, writing robust, well-tested code that operates reliably in production environments.
- Performance Optimization: Profile and optimize agent behavior, API latencies, and resource consumption to meet enterprise-scale demands.
- Bridge Systems: Develop connective tissue between AI agent backends and the OutSystems low-code platform, ensuring seamless data flow and secure API contracts.
- Abstraction Design: Contribute to the design of software abstractions that enable agents to reason about and interact with complex legacy systems and modern architectures alike.
- Cross-Functional Delivery: Collaborate with researchers, product managers, and platform engineers to translate requirements into working solutions.
- Mentor Junior Engineers: 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.
- 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.
- Curious & Adaptable: You're excited by new problems, comfortable with ambiguity, and eager to learn new domains.
