Join Our Team as AI Gateway Engineer – Platform Integrations (Remote)

At Hyperion360, we believe in empowering our engineers to shape the future of technology from the comfort of their own homes. We are a premier software outsourcing company, partnering with some of the world’s most successful businesses to build and manage dedicated, remote teams of top-tier software engineers and other technical talent.

We are looking for a talented AI Gateway Engineer – Platform Integrations (Remote) to join our global team.

About This Role

An experienced AI Gateway Engineer to architect, implement, and optimize AI-powered solutions that drive next-generation products and platforms.

Job Description

📍 Preferred Location: LATAM region

📅 Contract Length: 1+ year

🎮 Client Industry: Gaming

About the Role

We’re seeking an experienced AI Gateway Engineer to architect, implement, and optimize AI-powered solutions that drive next-generation products and platforms. This hands-on role focuses on integrating, deploying, and scaling machine learning models while ensuring robust, secure, and high-performance AI services across the organization. You’ll collaborate closely with product, engineering, and DevOps teams to deliver scalable AI infrastructure and seamless integrations with internal and third-party systems.

Key Responsibilities:

Model Development: Design, train, evaluate, and deploy ML and deep learning models for diverse business needs.
Prompt Management: Build systems to manage and enrich prompts, ensuring context retention and safe content handling.
Content Moderation: Implement safeguards to filter harmful or inappropriate model outputs.
Integration: Develop APIs and supporting systems to serve AI models across platforms.
Data Protection: Apply masking, encryption, and compliance strategies to protect sensitive data.
Model Context Protocol (MCP): Integrate workflows using MCP or similar frameworks for contextual request management.
Performance Optimization: Ensure low-latency, scalable AI service delivery using modern caching and deployment strategies.
Security & Compliance: Collaborate with security teams to enforce access controls and privacy standards.
Monitoring & Observability: Apply logging, tracing, and analytics to track performance and manage costs.
Cross-Team Collaboration: Work with ML engineers, developers, and product managers to embed AI into broader systems.
Documentation: Create clear guides and internal tools to support AI system adoption and maintenance.

Experience:

3–6+ years designing and deploying AI/ML models in production (Python, TensorFlow, PyTorch, etc.)
Experience with prompt management, content moderation, and data protection in AI applications
Familiarity with cloud-native architecture (AWS, GCP, or Azure)
Hands-on experience with MCP or similar context management workflows
Proven ability to build scalable data and ML pipelines

Technical Skills:

Proficiency in ML/DL frameworks and model deployment
Strong API integration and RESTful service design
Experience with data engineering, caching (e.g., Redis), and monitoring tools
Comfort working with external APIs and designing abstraction layers
Familiarity with AI Gateway platforms (e.g., Kong, Mosaic, TrueFoundry, Portkey)

Mindset:

Passion for clean code, clear documentation, and thoughtful testing
Comfortable in fast-paced, early-stage environments
Strong communication and collaboration skills

Nice to Have:

Experience with observability stacks (OpenTelemetry, Datadog, Prometheus)
Background in multi-tenant platforms or large-scale AI deployments
Familiarity with Golang

Why Choose Hyperion360?

Remote-First Culture: Work from anywhere with flexible hours
Top-Tier Clients: Partner with Fortune 500 companies and top startups
Professional Growth: Continuous learning and development opportunities
Competitive Compensation: Market-leading salaries and benefits
Global Team: Collaborate with talented professionals worldwide

Ready to take your career to the next level? Apply today and become part of Hyperion360’s elite team!