Backend Engineer

Co-Founder @ Calyptus | High Performance Talent at Scale | Blockchain & AI 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 Postgre SQL) 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 #J-18808-Ljbffr