Backend Engineer
Summary
Backend Engineer at Calyptus partners with ML teams to build scalable Python-based APIs and cloud systems for AI/ML integration, troubleshooting production issues and guiding clients in a consulting setting.
Co-Founder @ Calyptus | High Performance Talent at Scale | Blockchain & AI
Direct message the job poster from Calyptus
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 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
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology and Engineering
Industries: Information Services