Software Engineer I, Generative AI Applications

Job not on LinkedIn

🕒 August 4

🗽 New York – Remote

🗽 New York – Remote

💵 $68k - $102k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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Dyson

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1991

🔧 Hardware

🏭 Manufacturing

🛒 Retail

Hardware • Manufacturing • Retail

Dyson is a unique technology enterprise known for its innovation and engineering superiority. Originating from a small workshop in rural England, Dyson has grown into a global powerhouse with offices worldwide, from Auckland to Zurich, Shanghai to Chicago. The company's core revolves around engineering but extends to pioneering in diverse technology sectors, including energy storage, robotics, and machine learning. Dyson's products are renowned for quality and innovation, with a strong focus on design and development, which reflects across their vibrant global offices.

📋 Description

• Design, build, test, deploy, and monitor production-grade generative AI applications, APIs, and integrations • Support recruiting, placement, sales, and internal productivity workflows • Partner with data scientists, data engineers, DevOps, and business stakeholders to translate business needs into scalable technical solutions • Apply GenAI patterns including RAG, prompt orchestration, agent workflows, and evaluation pipelines • Build expertise across leading LLM families and platform integrations • Write clean, maintainable, well-tested code • Contribute to technical documentation, code reviews, monitoring, and operational best practices

🎯 Requirements

• Strong software engineering fundamentals • Proficiency in Python • Experience building APIs, services, data pipelines, or cloud-based applications • Hands-on familiarity with generative AI tools and concepts, including LLM APIs, prompt engineering, RAG, vector databases, embeddings, and evaluation methods • Familiarity with leading LLM families and platform integrations • Experience applying generative AI concepts in production applications strongly preferred • Experience with AWS and cloud-based production environments • Experience with Git, CI/CD, testing, observability, and agile delivery • Ability to communicate technical ideas clearly • Ability to collaborate across technical and non-technical teams • Ability to work through ambiguous problems with guidance and clear communication • Successful completion of a background check is required as a condition of employment

🏖️ Benefits

• Supportive environment where talent is encouraged to grow and take on new challenges • Opportunities to work on cutting-edge projects in AI and data science • Diversity, inclusion, and professional development culture • Group health insurance benefits (medical, vision, dental) • FSA and HSA healthcare accounts • Life and accident insurance • Adoption and fertility assistance • Paid parental leave of up to 6 weeks • Short/long term disability • Paid time off for vacation, personal needs, and sick time • Up to 17 days of Choice Time Off per calendar year for new hires • Up to 11 paid holidays per calendar year • 401(k) savings and investment plan or deferred compensation plan (if eligible) • Employer match of 100% on the first 3% of contributions for eligible employees