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AI SW Integration Engineer

US client via staffing partner · San Diego, California

Location
San Diego, California · Onsite
Salary band
Band not stated
Type
Full-time
Level
Mid
Work authorization
Not stated

Stack

Generative AI · Large Language Models (LLMs) · Agentic AI · RAG · MCP · Python · REST APIs · Webhooks · CI/CD Pipelines · Automated Testing Frameworks · Document Parsing · NLP · AWS · Azure · GCP · Docker · Kubernetes · Requirements Management

About the role

Job Title: AI SW Integration Engineer Posting Location: San Diego, California Permanent 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 [contact hidden] 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 [contact hidden] (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

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