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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. We’re seeking Forward Deployed Engineers to work at the intersection of engineering, product, and customers, deploying and adapting Maisa Studio, our flagship Agentic Process Automation platform, to solve real-world enterprise problems.
Job Responsibility:
Work directly with enterprise customers to understand their processes and goals
Design and implement solutions using Maisa Studio to automate complex workflows
Act as a trusted technical partner during onboarding and deployment
Translate requirements into technical implementations and product feedback
Partner with product and engineering teams to influence roadmap development
Surface customer needs, edge cases, and scalability concerns
Define best practices, reference architectures, and reusable components that accelerate delivery
Ensure deployments meet enterprise standards for reliability, performance, and security
Support customers in regulated environments by aligning with compliance requirements
Collaborate with QA, SRE, and AppSec teams for stable rollouts
Configure, extend, and integrate Maisa Studio into customer environments
Design end-to-end solutions that include APIs, connectors, webhooks, serverless functions, microservices, and event-driven flows
Translate functional requirements from Automators and Technical Account Managers into concrete technical implementations using Go, Python, or JavaScript
Ensure robustness through strong engineering practices including testing, logging, monitoring, and documentation
Troubleshoot complex issues across distributed systems
Support handover to internal teams or customers when applicable
Design and support deployments of Maisa Studio in customer environments, including on-premise and customer-managed cloud infrastructures
Work closely with customer DevOps, SRE, and Security teams to achieve production readiness
Configure platform requirements including authentication (OIDC, SAML), IAM, networking (VPNs, DNS, ingress/egress), and operational controls (deployment pipelines, monitoring, backups, high availability)
Diagnose and resolve deployment-level incidents
Ensure the platform operates within customer security and compliance requirements
Produce clear operational documentation including runbooks, deployment patterns, and troubleshooting guides
Requirements:
Strong experience as a Software Engineer, Solutions Engineer, DevOps/SRE Engineer, or Forward Deployed Engineer in customer-facing or delivery-oriented roles
Comfort operating in ambiguous environments
Strong troubleshooting skills across code, integrations, and infrastructure
Customer-first mindset
Ability to explain technical concepts clearly
Strong experience as a backend or full-stack developer shipping production systems
Hands-on experience with APIs, microservices, and event-driven architectures/queues
Familiarity with serverless and integration patterns commonly used in enterprise environments
Strong debugging skills
Strong experience in DevOps / SRE, supporting production workloads
Hands-on knowledge of Kubernetes, cloud providers and/or on-prem infrastructure, and networking fundamentals
Practical experience with security and identity standards: OIDC, SAML, VPNs, certificates, and IAM concepts
Ability to quickly understand customer infrastructure and adapt to their tools and processes
Clear, structured communication with technical stakeholders in customer organizations
What we offer:
Opportunity to work with cutting-edge Agentic Process Automation
Directly influence how major multinational organizations transform critical business processes
Work on genuinely differentiated technology that solves real enterprise AI challenges
Expedite your learning and development
Work alongside deep technical and industry experts