about 13 hours ago
Responsibilities
- Build and scale core backend services and platforms for generative AI applications.
- Design and implement high-throughput, low-latency data pipelines for structured and unstructured data.
- Develop robust APIs and microservices for model inference and feature serving.
- Integrate generative AI tools into production workflows.
- Optimize system performance, cost, and reliability.
- Implement automated testing and continuous delivery pipelines.
- Partner with data scientists and engineers to translate models into production-grade solutions.
- Mentor engineers and lead code reviews.
- Own end-to-end delivery and metrics-driven measurement of system reliability.
Requirements
- Bachelor’s degree in computer science, software engineering, or a related field.
- Minimum 5+ years of experience building backend systems and production services.
- Experience designing and operating large-scale data engineering pipelines.
- Hands-on experience with generative AI tools and development workflows.
- Proficiency in Python and at least one systems language like Java, Go, or C++.
- Strong experience with cloud platforms and containerization technologies.
- Proven experience with databases and messaging technologies for high-throughput workloads.
- Experience designing APIs, microservices, and CI/CD pipelines.
- Excellent communication skills and ability to work with cross-functional teams.
- Commitment to the highest ethical standards.
Benefits
- Health care benefits.
- Maternity, Adoption & related leave policies.
- Generous paternity and family care leave policies.
- Employee Assistance Program & Mental wellness programs.
- Transportation support.
- Tuition assistance.