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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
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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.