AI Software Engineer

Requirements

• AWS or other cloud provider experience
• Containerization (Docker, Kubernetes)
• Agile/Scrum background
• Familiarity with prompt engineering or AI evaluation frameworks
• Bachelor's or Master's in Computer Science, Software Engineering, or a related technical discipline
• Required Skills:
• CI/CD, Generative AI, Large Language Models (LLMs), Python (Programming Language), RESTful APIs, Retrieval-Augmented Generation, Vector Databases
• Preferred Skills:
• Amazon Web Services (AWS), Docker (Software), Kubernetes, Scrum (Agile)
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• Employee Status:
• Regular
• Relocation:
• VISA Sponsorship:
• Travel Requirements:
• Flexible Work Arrangements:
• Hybrid
• Shift:
• Valid Driving License:
• Hazardous Material(s):
• Job Posting End Date:
• 07/2/2026 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Benefits

Additional Information

Job Description We are looking for a software engineer to join our Central AI Organization (APEX CAIO) and build production-grade AI systems. The core of this role is engineering: designing, coding, and shipping reliable software that integrates large language models, retrieval pipelines, and AI agents into enterprise products. You will work in a product-oriented engineering team, applying strong software development fundamentals to AI-driven systems. What Will You Do? Engineering & Delivery Design and implement backend systems and APIs that integrate LLMs, vector databases, and retrieval components Build, deploy, and maintain RAG pipelines and AI agents in production Write clean, testable, maintainable code following engineering best practices Contribute to CI/CD pipelines, testing, and observability of AI systems Optimize AI components for performance, reliability, and correctness Collaboration Translate requirements into working software alongside senior engineers, product managers, and domain experts Participate in Agile ceremonies, sprint planning, and code reviews Communicate technical progress, risks, and trade-offs clearly within the team Qualifications, Skills & Experience Required Proven software engineering experience - strong, production-level Python is essential Experience building systems that integrate APIs, databases, and cloud services Hands-on experience with LLMs, RAG architectures, vector databases, or generative AI applications RESTful API development experience Familiarity with CI/CD, testing practices, and software delivery

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Company Intel

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