AI Platform Engineer

HAYSTACK MOBILE TECHNOLOGIES, LLC

United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

arc.dev

Tech stack

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

+7 more

Google Cloud Cloud Platform System AI Platforms Information Technology Stream Processing Golang Microservices

Job 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.

Requirements

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.