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Backend Engineer at Invitro Capital. Job Overview:. InVitro Capital is seeking a highly skilled and strategic Engineering Manager with expertise in Cloud Solutions, AI, Python, and Backend Solution Design to lead our engineering team. You will play a pivotal part in developing cutting-edge software solutions, leveraging cloud technologies, and implementing AI best practices. You will guide your team of engineers, ensuring the successful delivery of complex projects while shaping the technical direction of our innovative ventures. This is an exceptional opportunity to make a significant impact and contribute to the growth of our diverse portfolio.. Working Hours: Monday to Friday, Pacific Time Zone.. Key Responsibilities:. . . Backend Development for GenAI:. Design, build, and maintain scalable backend systems that support generative AI products and services.. . . API Design & Integration:. Develop and optimize APIs that connect machine learning models with frontend interfaces and external systems.. . . System Reliability & Security:. Ensure backend systems are robust, secure, and capable of handling production-grade workloads.. . . Frontend Collaboration: . Work closely with frontend teams to support seamless integration and efficient data flows across the stack.. . . Monitoring & Troubleshooting:. Implement monitoring, logging, and alerting solutions to track system performance and resolve issues quickly.. . . AI Inference Optimization:. Design caching strategies and performance enhancements to support fast, reliable AI model inference.. . Requirements. :. . . Education: . Bachelor’s degree in Computer Science, Engineering, or a related field.. . . Experience: . 2-5 years in AI solution engineering with a strong focus on process automation and client-facing collaboration.. . . Backend Programming Expertise: . Proficiency in Python and/or JavaScript for building production-ready backend services.. . . Python Web Frameworks: . Experience with Django, Flask, or FastAPI for rapid backend development.. . . Database Proficiency: . Skilled in working with SQL and NoSQL databases, including schema design and query optimization.. . . API & Architecture Knowledge: . Strong grasp of RESTful API design, service-oriented architecture, and backend best practices.. . . Containerization & Deployment:.  Familiar with Docker, Kubernetes, and modern deployment workflows.. . . Auth & Security: . Understanding of authentication and authorization methods such as OAuth and JWT.. . . Cloud & DevOps:.  Experience deploying to cloud platforms (AWS, GCP, Azure) and working with CI/CD pipelines.. . . MLOps & Model Management (Would be a Plus): . Experience with model versioning, feature stores, deployment workflows, and real-time model monitoring in production.. . . LLM Workflow Knowledge (Would be a Plus): . Familiarity with prompt engineering techniques, fine-tuning pipelines, and integrating large language models into applications.. . . Streaming & Event Systems (Would be a Plus): . Exposure to streaming platforms like Kafka or Kinesis, and understanding of event-driven architecture design patterns.. . Company Location: Mexico.