AI SW Integration Engineer

Confidential Careers; San Diego (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Confidential Careers seeks a skilled engineer to develop integration and automation solutions that streamline engineering and validation workflows. The role focuses on building backend tools and services to automate test generation, improve requirements traceability, and optimize team workflows.

Ideal candidates have strong experience with generative AI models, agentic systems, and AI-native automation, plus backend development (Python) and CI/CD expertise.

Qualifications

• MS/PhD in Computer Engineering, Electrical Engineering, Computer Science or equivalent experience.
• 3-5 years of experience developing automation or integration tools in production environments.
• Strong understanding of generative AI models (LLMs) and agentic AI systems.

Responsibilities

• Develop integration and automation solutions to streamline engineering and validation workflows.
• Build backend tools and services that automate test generation and improve traceability.
• Design and deploy AI-native workflow automation across multiple teams.
• Ensure reliable integration with tools and databases via REST APIs or webhooks.
• Support CI/CD pipelines and automated testing within production environments.

Skills

Generative AI models

Agentic AI systems

AI-native workflow automation

Python

REST APIs / webhooks

Document parsing (Word, PDF, XML, JSON

CI/CD and automated testing

requirements management and validation

Education

M.S./Ph.D. in CS/EE or related

Tools

Docker

Kubernetes

AWS/Azure/GCP

Job description

Position Summary:

The scope of this role focuses on developing integration and automation solutions to streamline engineering and validation workflows across multiple teams. The ideal candidate will build backend tools and services that automate test generation, improve requirements traceability, and optimize team workflows.

Key Qualifications:

• Strong understanding of generative AI models, particularly large language models (LLMs)
• Experience designing and deploying agentic AI systems end-to-end
• Familiarity with Agentic Development and surrounding technologies such as RAG & MCP
• Familiar with AI-native workflow automation through Skills-based systems
• Proficiency developing backend or automation services (Python preferred)
• Experience integrating tools or databases using REST APIs or webhooks
• Familiarity with structured document parsing (Word, PDF, XML, JSON, etc.)
• Experience with CI/CD pipelines and automated testing frameworks
• Understanding of requirements management and validation workflows

Bonus Qualifications:

• Experience with NLP or text-processing automation
• Knowledge of Cloud Platforms (AWS, Azure, or GCP)
• Experience with Containers and Orchestration (Docker, Kubernetes, etc.)
• Strong problem-solving skills with a passion for tackling new challenges

Education and Experience:

• M.S. or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience
• 3-5 years of experience developing automation or integration tools in production environments