Forward Deployed Software Engineer

Who We Are

Voice.ai is transforming how businesses interact with customers through intelligent voice agents that automate, engage, and scale conversations. Our platform delivers real-time, lifelike voice interactions tailored to each use case.

We’re trusted by millions of users and rapidly scaling across industries. Backed by top-tier investors like Mucker Capital and M13, we’re aiming handle 1B+ voice calls by next year. Your work will directly shape products that touch millions of people worldwide. Join us to help redefine AI-powered communication and build technology with global impact.

About the Job

We’re looking for a Forward Deployed Software Engineer who can go from a client meeting to production code — someone who understands the business context but thinks in systems, APIs, and deployments. You’ll sit at the intersection of engineering and delivery, helping enterprise customers integrate and scale real-time AI voice agents.

What you’ll do

• Own the full delivery cycle - from client requirements to deployed voice agents.

• Build and integrate APIs with CRMs, telephony systems (Twilio, Five9, Genesys), and internal services.

• Write production-quality code in Python (or Node) for routing, orchestration, and real-time audio pipelines.

• Debug latency, reliability, and concurrency issues across cloud environments.

• Deploy to GCP or AWS using modern CI/CD pipelines (Docker, Kubernetes, etc).

• Partner with ML engineers to plug models into real-world call environments.

• Work directly with customer technical teams to troubleshoot and iterate quickly.

• Contribute to internal tooling and infrastructure that helps us scale delivery.

What we’re looking for

• 5+ years of experience in backend or full-stack engineering (Python, Node.js, or Go).

• Experience with APIs, real-time systems, or voice/telephony platforms (Twilio, Dialogflow, AWS Connect, etc).

• Strong grasp of cloud deployment (GCP/AWS) and modern devops practices.

• Ability to communicate clearly in customer environments - both technical and non-technical.

• Bias for shipping - comfort working in fast-moving, unstructured environments.

• Excited about building at the intersection of AI and enterprise automation.

This is a role for someone who loves building and problem-solving in production - not writing research code or sitting behind specs. You’ll define how we deliver voice agents at scale and be a key technical voice in front of customers.