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# AI Platform Engineer

- **Company:** HAYSTACK MOBILE TECHNOLOGIES, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Cloud Computing, Computer Programming, Distributed Data Store, Distributed Systems, Python (Programming Language), Operational Data Store, Software Engineering, Google Cloud, Cloud Platform System, AI Platforms, Information Technology, Stream Processing, Golang, Microservices
- **Published:** September 23, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pm2x8vazi6

## About the Role

* Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent experience.
 * 8+ years of experience across the complete software development lifecycle, including architecture, design, coding, testing, and operations.
 * 8+ years of programming experience, proficient in Python, Java, Go, or C++.
 * 5+ years of experience leading the design and architecture of large-scale distributed systems, preferably on cloud platforms (AWS, Azure, GCP).
 * Expertise in real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI/agentic systems, or large-scale analytics.
 * Demonstrated ability to translate complex, ambiguous technical problems into pragmatic, production-ready solutions.

## Description

* Lead the development of core platforms and services for intelligent networking and AI experiences.
 * Process large volumes of network and operational data, ensuring systems are scalable, secure, reliable, observable, adaptable, and safe.
 * Work at the forefront of agentic automation, cloud-native platforms, and real-time distributed systems.
 * Continuously experiment with emerging technologies and launch state-of-the-art software, data, and AI solutions.
 * Design systems that process high-volume, high-velocity data with stringent requirements for scalability, availability, latency, and operational reliability.
 * Mentor engineers or serve as a technical lead, tackling complex technical problems to deliver production-ready solutions.


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