Senior QA GEN AI Engineer
Summary
Senior QA GenAI Engineer at 99x in Lisbon (hybrid, 3 days/week on-site): designs test strategies for microservices and distributed systems while building GenAI capabilities — AI agents, RAG/embedding solutions, and LLM integrations (e.g., MCP) — plus backend microservices in .NET or Java to bring AI into the SDLC.
We are looking for a Senior QA GenAI Engineer to join our team and play a key role in integrating quality assurance practices with cutting-edge Generative AI solutions.
In this role, you will contribute to the development of intelligent systems that enhance the Software Development Lifecycle (SDLC), including AI-driven automation, testing strategies, and application modernization. You will work in a hybrid setup, collaborating closely with engineering teams to ensure reliability, scalability, and quality across distributed systems.
The role is hybrid, requiring presence 3 times per week in Lisbon.
Responsibilities
QA & Testing Strategy
Design and implement test strategies, test cases, and quality assurance processes for complex systems.
Ensure quality across microservices and distributed architectures.
Use tools such as Postman and SOAP UI for API testing and validation.
Promote best practices in QA, automation, and continuous testing.
GenAI & Intelligent Systems
Develop and implement AI agents to support application modernization and technology migration.
Build intelligent capabilities to optimize different phases of the SDLC, including testing and validation.
Work with LLMs and associated protocols (e.g., MCP) to enhance system capabilities.
Design and implement solutions using RAG (Retrieval-Augmented Generation) and embedding techniques.
Backend & Microservices Development
Develop microservices and APIs to expose AI-driven capabilities.
Collaborate on backend systems using .NET (preferred) or Java.
Ensure services are scalable, maintainable, and aligned with modern architectural practices.
Collaboration & Continuous Improvement
Work closely with cross-functional teams, including developers, architects, and QA engineers.
Contribute to continuous improvement initiatives, focusing on quality, automation, and innovation.
Take ownership of deliverables, working autonomously with a strong results-oriented mindset.
Requirements
Strong experience in .NET (preferred) or Java.
Proven experience working with microservices and distributed systems.
Solid background in QA practices, including test design, execution, and strategy.
Hands-on experience with QA tools such as Postman or SOAP UI.
Practical experience working with LLMs and related protocols (e.g., MCP).
Experience with RAG architectures and embedding techniques.
Strong analytical thinking and problem-solving skills.
Ability to work autonomously, with a responsible and results-driven mindset.
Nice-to-have
Experience with event-driven architectures (EDA) and event brokers such as Kafka.
Familiarity with communication protocols such as gRPC, SOAP, and JSON-RPC.
Knowledge of API security practices, including OAuth2, JWT, and zero-trust principles.
Experience with observability tools and standards such as OpenTelemetry.
Background in high-availability systems.
If this sounds like you, share your CV with us and let’s talk!
