Backend Engineer, AI Integration for a well known consumer device company

OSI Engineering
Cupertino, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 94K

Job location

Cupertino, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Application Integration Architecture
Big Data
Google BigQuery
Code Review
Data Integration
Data Warehousing
Web Development
Electronic Data Interchange (EDI)
Python
Machine Learning
Open Systems Interconnection (OSI)
TensorFlow
Software Engineering
Data Streaming
Systems Integration
Web Application Frameworks
Data Processing
React
Snowflake
Spark
Backend
Vue.js
Data Lake
Angular
Kafka
Api Design
Stream Processing
Network Server
Data Pipelines
Redshift
Microservices

Job description

We're seeking an AI Data Integration Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems. The ideal candidate will have a full-stack engineering background with the ability to speak specifically to MCP implementation challenges previously solved in production - not just conceptual familiarity., * Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks

  • Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods
  • Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions
  • Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability
  • Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle

Requirements

  • Hands on experience with designing, building, and deploying MCP servers and integrating with AI assistants.
  • Proven ability to work through MCP challenges (e.g. tool design and agent connectivity).
  • Knowledge of MCP server development concepts (e.g. how tools get registered, how the transport works, etc.)
  • 3+ years of Python Development with a background in back-end services and data processing
  • Experience building web applications with modern frameworks (React, Vue, or Angular) for internal platforms and/or user-facing AI applications.
  • Experience with real-time data processing and analytics.
  • Exposure to AI/ML algorithms and operations.
  • Knowledge of structured data exchange protocols, integration, and API design for AI systems.
  • Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)
  • Prior experience with designing and deploying microservices based applications in an AWS environment.
  • Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes.

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