Software Engineer at OutSystems
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

25 Nov, 25

Salary

0.0

Posted On

25 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Aws, Java, Python, Internships, Containerization, Computer Science

Industry

Computer Software/Engineering

Description

QUALIFICATIONS

  • Bachelor’s or Master’s Degree degree in Computer Science, Software Engineering, or equivalent practical experience.
  • 1–2 years of software development experience (internships or academic projects accepted).
  • Proficiency in C#; familiarity with Python or Java is a plus.
  • Basic understanding of AWS and containerization (Docker/K8S).
  • Eagerness to learn AI frameworks and cloud-native development.
  • Strong problem-solving skills and a collaborative mindset.

THE LONGER STORY:

OutSystems enables enterprise teams to build AI-powered applications and agents that reduce manual work, streamline internal operations, and accelerate impact. A proven low-code foundation combined with agentic AI and AI app generation capabilities empowers teams to move up to 10x faster with the assurance of security, scalability, and governance built in.
As the future becomes agentic, our customers need us now more than ever. AI has opened the door to extraordinary possibilities—but inside the enterprise, things are moving fast and feeling chaotic. Some early adopters are making progress in production, but for many, AI tools are sprawling without governance, data isn’t ready, and talent isn’t there yet. Enterprises are still drowning in application backlogs and struggling with legacy systems. But with the right platform, AI doesn’t have to add to the chaos. It can become the breakthrough that brings clarity—and drives real, enterprise-wide impact. At OutSystems, we’ve built that platform, providing the tools necessary for enterprises to overcome these hurdles.
We are looking for passionate, talented, and motivated people to join us in helping our customers build, deploy, and scale apps and agents—fast, helping them accelerate innovation while enabling secure, governed human-AI collaboration.
OutSystems is a truly global company, with more than 850,000 developer community members, 1,700 employees, more than 500 partners, and thousands of active customers in over 75 countries and across 21 industries. Founded in 2001, OutSystems has offices in the United States, United Kingdom, the Netherlands, Portugal, Germany, the UAE, Japan, Hong Kong, Malaysia, Australia, India, and Singapore, and of course has a thriving, worldwide community of remote employees.
Amongst our 2,400 customers are some of the world’s most recognizable brands across diverse industries—brands like Toyota, Heineken, Bosch, KeyBank, and UCLA. These customers are the reason we have a 4.6 star rating on G2. Their success is ours, and their stories demonstrate tangible ROI and transformational impact. We are a 9x Gartner Magic Quadrant Leader for Low-Code Application Platforms and a multi-year leader in the Forrester Wave. We’re recognized not just as leaders but as visionaries with a strong ability to execute, now extending our leadership into the AI and agentic application development arena.

Responsibilities

ROLE SCOPE

You are a developing software engineer focusing on building AI agent features under the guidance of senior engineers. You are learning the AI engineering lifecycle, our low-code platform architecture, and the best practices for cloud-native AI solutions.

KEY RESPONSIBILITIES

  • Implement well-defined AI agent features and enhancements in C# within the low-code platform.
  • Assist in integrating AI models and APIs into platform components.
  • Write and maintain unit/integration tests for AI agent code
  • Follow established CI/CD and deployment processes for AWS/Kubernetes.
  • Contribute to data integration work with relational databases (MySQL, Postgres, Snowflake).
  • Collaborate with peers and senior engineers in code reviews and technical discussions.
  • Learn AI engineering fundamentals — prompt engineering, embeddings, and AI agent frameworks.
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