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.
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.
About OutSystems
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.
OutSystems is a truly global company, with offices and a thriving remote workforce across multiple regions. We are an equal opportunity employer and value diversity and inclusion. All qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
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