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AI Summary
Welcome to Maisa – Making AI Accountable!
Maisa is building the next generation of Agentic Process Automation, helping enterprises automate complex, decision-heavy processes that traditional automation can’t handle and GenAI alone can’t be trusted with. Our platform combines AI-driven reasoning with deterministic execution, enabling reliable, auditable, and enterprise-ready AI systems.
About the role
We're looking for a Senior Software Engineer to join our product and engineering team. You'll work on a microservices architecture, owning meaningful parts of the product end-to-end — from requirements to production. Our engineers work closely with clients, so you'll have direct visibility into real-world impact. You'll work end-to-end across the full delivery lifecycle alongside product, QA, and other engineers to take problems from requirements to production.
This is an early-stage company — you'll be building new features, tailoring the product for existing clients, and helping shape how we work as we grow.
What you'll do
Design, build, and maintain backend services in Go and Python across a microservices architecture deployed on Kubernetes
Own features end-to-end — from technical design through deployment and iteration
Work closely with clients and client-facing teams to understand requirements and translate them into reliable, scalable solutions
Write clean, well-tested, production-ready code and contribute to code reviews
Contribute to architectural decisions and help raise the technical bar across the team
Help maintain and improve existing client implementations alongside building new capabilities
What we're looking for
7+ years of software engineering experience with a strong backend focus
Production experience with Go and Python — we primarily use Go, but if your Go experience is limited you can ramp up
Strong understanding of microservices and distributed systems
Experience with Kafka or similar message queue systems
Familiarity with Redis (or equivalent in-memory data stores) and MongoDB
Experience working with Kubernetes and containerised services in production
Comfortable with AWS and GitHub Actions CI/CD pipelines
Comfortable working in a fast-moving, ambiguous environment with high ownership
Strong communication skills — you'll be working closely with clients and cross-functional teams
Genuine curiosity about AI and how it's reshaping how products are built
Nice to have
Hands-on experience with AI/ML systems, LLM integration, or agentic workflows
Exposure to vector databases or retrieval-augmented generation (RAG)
Experience in an early-stage or scaling startup
Background in security architecture or SRE practices
Location
Fully remote. We have offices in Madrid, Barcelona, and Valencia - visiting is entirely optional.
Why join Maisa!
You will be joining one of Europe’s most exciting early-stage AI start-ups, where you’ll have the opportunity to work with cutting-edge Agentic Process Automation that’s reshaping how enterprises approach AI deployment. You will get to directly influence how major multinational organizations transform critical business processes, working on genuinely differentiated technology that solves real enterprise AI challenges.
Following our recent $25m Seed Round, backed by leading Venture Capital firms including Creandum, Forgepoint, NFX, and Village Global, we’re scaling quickly and realising significant enterprise traction. This is your opportunity to help solve real AI enterprise challenges, working alongside deep technical and industry experts, where you will be challenged daily and expedite your learning and development.
Maisa is committed to Equal Employment Opportunity through attracting and retaining a complementary team of employees and building an inclusive environment for all.
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