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The Backend Engineer will collaborate directly with customers and customer-facing teams to understand their needs and deliver tailored solutions. This role combines backend software engineering with customer engagement, ensuring seamless integration of our platform into client systems. You’ll work as part of a cross-functional team, solving complex engineering challenges while enhancing the customer experience in a fast-paced, client-driven environment.

What You’ll Do

• Partner with the Machine Learning team to design and implement scalable solutions that meet customer-specific requirements
• Work directly with clients to gather requirements, provide technical guidance, and serve as the post-go-live ML point of contact
• Develop custom APIs and backend services to enable seamless integration with customer environments
• Troubleshoot and resolve complex technical issues, acting as the technical liaison between customers and the Raft engineering team
• Deliver small, targeted features to unblock high-priority edge cases and resolve customer tickets
• Partner closely with the ML team on inference/data pipeline issues, adding validation and guardrails where needed
• Collaborate with Product, Engineering, Customer Success, and Sales to refine features, improve customer experience, and produce clean documentation for smooth handover
• Contribute to continuous improvement of backend architecture and services, incorporating customer feedback and industry trends
• Build and maintain self-service tooling to enable non-engineers to diagnose and resolve common issues

Requirements

• Proven experience in Python-based backend development; exposure to frontend technologies (particularly React) is desirable
• Skilled in troubleshooting complex production issues, ensuring rapid resolution and system reliability
• Track record of delivering technical solutions and providing expert guidance to clients in professional services or consulting settings
• Ability to design and build scalable, cloud-based systems and APIs that integrate with client systems
• Experience with database technologies (preferably PostgreSQL) and backend frameworks such as FastAPI
• Knowledge of modern AI tools such as Cursor
• Hands-on experience working with LLMs and prompt engineering
• Strong communication skills, able to convey complex technical concepts to both technical and non-technical stakeholders
• Problem-solving mindset with a passion for customer satisfaction and delivering quality solutions
• Experience with containerization and deployment practices (Docker, Kubernetes, AWS/Azure/GCP) is a plus
• Demonstrated ability to balance technical excellence with business requirements and time constraints

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Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles.

Sign up now at https://app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you.