Note: The job is a remote job and is open to candidates in USA. Bayside Solutions is hiring an AI Infrastructure Platform Engineer to build foundational backend platforms for next-generation AI agents and intelligent systems. The role focuses on designing scalable, reliable Python services, distributed systems, Kubernetes-based microservices, asynchronous workflows, and event-driven architectures for production AI applications.
Responsibilities
- Design and build scalable backend services in Python for AI and agent platforms
- Architect systems that handle high concurrency, large volumes of data, and low-latency requirements
- Build and operate microservices deployed on Kubernetes
- Design systems with reliability, fault tolerance, and observability as core principles
- Plan for horizontal scalability to support rapid growth and increasing usage
- Work on asynchronous processing, distributed workflows, and event-driven architectures
- Collaborate with cross-functional teams to define platform capabilities that support AI use cases
- Continuously improve system performance, reliability, and cost efficiency
Skills
- Strong proficiency in Python with experience building production-grade systems
- Solid understanding of data structures, algorithms, and core computer science fundamentals
- Experience designing and building distributed systems at scale
- Hands-on experience with concurrency, multithreading, or asynchronous programming
- Experience with microservices architecture and API design
- Practical experience with Kubernetes and containerized deployments
- Ability to design systems that account for failure scenarios, scaling challenges, and performance trade-offs
- Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate
- Experience with AWS or similar cloud platforms
- Familiarity with event-driven systems such as Kafka or pub/sub architectures
- Experience with caching strategies such as Redis
- Exposure to observability tools for logging, monitoring, and tracing
- Some familiarity with AI or ML systems, LLMs, or agent-based architectures
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