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Spectraforce

AI SW Integration Engineer

Pay: Not specified

Posted: 4 weeks ago

Location: Chula Vista, CA (Onsite)

Last Updated: 3 days ago

Hours: Full-Time

Expires: 10/10/2026

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What they do

An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.

$160,491 / year median in California

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Job Description

Role:

AI SW Integration Engineer Location:

San Diego, CA 92121

Duration:

8 Months (Poss. of Extension)

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.