Maisa AI

Role Description You'll join our AI R&D team building production-ready AI agent systems on top of our KPU technology. This is a hands-on builder role focused on implementing, evaluating, optimizing and deploying agentic workflows that solve real enterprise problems. You'll bridge research and production, transforming cutting-edge AI capabilities into reliable, accountable systems that meet enterprise requirements. What you’ll do: - Design and implement end-to-end AI agent workflows using our KPU technology, working directly with customers to rapidly iterate on solutions. - Build robust evaluation datasets and frameworks to measure agents/AI performance, reliability, and accuracy. - Optimize workflows for performance, explainability, and enterprise-grade reliability. - Push the boundaries of what's possible with LLMs, RAG systems, and AI agents in production environments. - Stay at the forefront of Agentic AI development, continuously applying new techniques to improve our platform. Qualifications - Demonstrable experience building and shipping AI-powered features to production environments. - Strong hands-on experience with LLMs, evaluations, prompt optimization and context engineering in real-world applications. - Strong background as SWE with proficiency in Python for production system development and code quality frameworks/practices. - Understanding of ML system evaluation methodologies and performance optimization. - Ability to translate complex AI capabilities into practical enterprise applications. - Self-starter mentality who thrives as an individual contributor in fast-paced, ambiguous startup environments. - Passion for building AI systems that are reliable, transparent, and trustworthy. Benefits - Opportunity to work with cutting-edge Agentic Process Automation. - Influence how major multinational organizations transform critical business processes. - Work on genuinely differentiated technology that solves real enterprise AI challenges. - Join a rapidly scaling company following a $25m Seed Round. - Collaborate with deep technical and industry experts. - Opportunity for personal and professional growth in a fast-paced environment. Company Description Maisa is committed to Equal Employment Opportunity through attracting and retaining a complementary team of employees and building an inclusive environment for all.

Role Description 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 Qualifications - 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 Requirements - 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 Benefits - Fully remote work environment with optional visits to offices in Madrid, Barcelona, and Valencia - Opportunity to work with cutting-edge Agentic Process Automation technology - Influence how major multinational organizations transform critical business processes - Work alongside deep technical and industry experts - Opportunity for personal and professional growth in a fast-paced environment