QUALIFICATIONS

• Bachelor’s or Master’s Degree in Computer Science, Software Engineering, AI/ML, or equivalent professional experience.
• 7+ years in software development, with 2+ years in AI/ML engineering or AI agent systems.
• Strong C# (.NET Core) skills; proficiency in Python or Java is a plus.
• Expertise in AWS cloud services (e.g., Lambda, ECS/EKS, S3, DynamoDB, Bedrock, SageMaker).
• Proficient with Kubernetes for deployment, scaling, and orchestration of AI workloads.
• Hands-on experience with AI agent frameworks (e.g., LangChain, Semantic Kernel, AutoGen) and agent communication standards (MCP, A2A).
• Knowledge of LLM prompt engineering, context management, vector search, and embedding pipelines.
• Mastery of continuous delivery and automated testing techniques, including AI model validation strategies.
• Excellent troubleshooting skills for diagnosing complex, distributed system issues.
• Proven ability to work effectively in cross-functional, agile environments.
• A passion for emerging AI technologies, staying ahead of trends, and driving their adoption.
• Ability to balance innovation with reliability, ensuring customer-facing AI features are both cutting-edge and production-ready.

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.

ROLE SCOPE

Lead individual contributor responsible for owning complex AI agent platform components, delivering scalable and secure AI-powered low-code solutions, and mentoring other engineers. Operates with high autonomy, influences technical direction within the team, and ensures production-ready quality in AI-driven features.

KEY RESPONSIBILITIES

• Design, implement, and maintain AI-powered low-code platform capabilities enabling customers to build and deploy AI agents at scale.
• Architect and optimize agent orchestration pipelines, integrating with AWS services, Kubernetes, and C#-based microservices.
• Develop solutions leveraging LLMs, AI agent frameworks, and autonomous agent patterns (e.g., task planning, tool use, memory).
• Implement and maintain secure, high-performance APIs for agent execution, communication, and interoperability.
• Build reusable, configurable components to accelerate customer-built AI agents through the low-code platform.
• Availability to participate in an on-call rotation
• Ensure high availability, low latency, and observability across AI agent services.
• Integrate AI agent workloads with AWS data services, messaging systems (Kafka/NATS), and event-driven architectures.
• Apply continuous delivery and automated testing practices for AI-related components.
• Act as a technical mentor, driving AI engineering best practices, knowledge sharing, and innovation across teams.
• Serve as last-line incident responder for complex AI platform issues, participating in the on-call rotation.