Wonderful Ltd.
Senior Software Engineer, Turkey
Wonderful Ltd., Turkey, North Carolina, United States, 28393
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 Overview We’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. You will:
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
Requirements
4–5+ years of software development experience, including production-grade backend systems
Strong proficiency in TypeScript 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
Bonus Points
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
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Role Overview We’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. You will:
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
Requirements
4–5+ years of software development experience, including production-grade backend systems
Strong proficiency in TypeScript 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
Bonus Points
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
#J-18808-Ljbffr