Forward Deployed Engineer

About the role

We’re hiring a Forward Deployed Engineer to advance our mission of building real-time multimodal intelligence by embedding directly with enterprise customers and delivering agentic voice AI solutions into their production environments.

Your Impact

• Write and ship production-grade code
• Design, build, and deploy voice AI systems that power real enterprise workflows
• Own deployments end-to-end – Lead discovery, architecture, implementation, and rollout for strategic customer engagements
• Drive progress in ambiguity – Move projects forward when requirements are incomplete, constraints evolve, or systems fail in unexpected ways
• Deliver across complex infrastructure – Deploy across cloud, VPC, and on-prem environments while navigating security, networking, and compliance requirements
• Unblock critical integrations – Diagnose and resolve integration failures, performance bottlenecks, and deployment issues under real-world constraints
• Drive expansion through building – Identify new use cases and prototype solutions that deepen adoption and increase long-term customer value
• Turn customer signal into platform leverage – Surface recurring patterns to engineering and product teams, influencing roadmap and reusable capabilities
• Build for scale – Transform one-off solutions into repeatable playbooks, templates, and reference architectures.

What You Bring

• 4+ years of experience building and operating production software systems
• Strong backend engineering fundamentals and a track record of delivering reliable systems
• Experience integrating APIs and distributed services into real-world infrastructure
• Comfort operating across cloud and containerized environments (AWS, GCP, Kubernetes)
• Experience navigating enterprise constraints: authentication, networking, observability, and security reviews
• Able to take ambiguous problems, define structure, and drive them to resolution
• High ownership and bias for action – you move quickly without waiting for perfect specs
• Clear, structured communicator comfortable engaging with senior technical stakeholders

Nice-to-haves

• Experience in forward-deployed, solutions, implementation, or customer-facing engineering roles
• Experience deploying AI/ML systems into production environments
• Familiarity with real-time systems (voice, streaming APIs, telephony, low-latency systems)
• Experience with on-prem or hybrid infrastructure deployments
• Multilingual fluency or experience supporting customers across international markets and non-English language deployments
• Startup or founder experience