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Parloa is an agentic AI platform that powers enterprise customer experience at scale, having facilitated over one billion customer interactions for global brands like Booking.com, HealthEquity, Allianz, and SAP.
As a Senior Forward Deployed Engineer, you will lead end-to-end deployment projects from an engineering perspective, working on the front lines of enterprise AI adoption. This is a hands-on, code-first role where you architect and engineer solutions directly in complex customer environments.
Key responsibilities include:
- Owning deployment engineering projects and leading technical execution within large enterprise environments
- Designing scalable, resilient deployment solutions meeting enterprise-grade performance, reliability, and security requirements
- Building custom extensions, integrations, and configurations to close product gaps and meet specific customer needs
- Operating across backend engineering, DevOps, and data engineering to ensure seamless delivery
- Collaborating directly with customer engineering teams to overcome constraints and deliver measurable outcomes
- Mentoring junior in-field engineers and providing technical guidance
- Engaging with enterprise architects and senior stakeholders on solution design and architecture
- Rapidly debugging and unblocking issues in mission-critical production environments
- Acting as the feedback loop between field deployments and core product engineering teams
- Working with Deployment Strategists to ensure scalable, durable customer value
You will work with a modern tech stack including TypeScript, Node.js, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, and MCP.
Required qualifications: 7+ years in software engineering, systems integration, DevOps, or data engineering with direct customer impact; proven track record leading deep technical deployments in large-scale enterprise environments; strong technical depth in backend engineering, infrastructure-as-code, Kubernetes/cloud platforms, APIs, and databases; ability to operate independently in ambiguous, high-responsibility settings; builder's mindset with bias for action; degree in Computer Science, Engineering, or related field; native or near-native French language skills with professional English fluency.
Strong plus: experience building or integrating AI/LLM-powered systems, including agent workflows, vector databases, and prompt orchestration.
