Senior Software Engineer – AI Integrations
Senior Software Engineer – AI Integrations
Wonderful enables enterprises to build, test, deploy, and monitor AI agents for their most complex needs, serving customers and employees seamlessly across voice, chat, email, and back‑office systems in any language or cultural context.
Role OverviewWe’re looking for a skilled and versatile Software Engineer to lead the integration of our AI platform into local customer environments. This is a highly hands‑on, customer‑facing role at the intersection of backend engineering and applied AI. Rather than building the core platform itself, you’ll focus on adapting, integrating, and customizing AI agents to fit real‑world workflows. You’ll collaborate directly with customers, working end‑to‑end to ensure seamless onboarding, tailored functionality, and production‑ready deployment of AI‑powered solutions.
We’re seeking someone who can move fast across the stack, thrives in ambiguous environments, and loves solving complex technical problems that make a real impact.
- Integrate our AI platform with customer systems, APIs, and workflows
- Design and implement backend services and data pipelines to support integrations
- Build, configure, and deploy AI agents tailored to specific customer use cases
- Collaborate directly with customers to understand requirements and deliver custom solutions
- Serve as a trusted technical contact for customer‑facing teams
- Troubleshoot, debug, and optimize integrations in real‑world environments
- Work closely with internal product and R&D teams to align customer needs with platform capabilities
- 4–5+ years of software development experience, including production‑grade backend systems
- Strong proficiency in Type Script and Go
- Solid understanding of HTTP, REST APIs, and modern web integration patterns
- Hands‑on experience working with AI agents and integrating LLMs into real‑world applications
- Comfortable navigating cloud environments and shipping fast across the stack
- Excellent communication skills and confidence working directly with customers
- Problem‑solver mindset with a high degree of autonomy and adaptability
- Experience in early‑stage startups or fast‑paced product teams
- Familiarity with cloud infrastructure (AWS, GCP) and containerized deployments (Docker, Kubernetes)
- Understanding of vector databases, embedding models, or retrieval systems
- Blend deep technical work with meaningful customer interaction
- See your code used in production by real customers, often within days
- Work at the cutting edge of AI, building systems that combine software engineering with LLMs
- Join a lean team where your contributions are highly visible
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