[Hiring] Generative AI Application Engineer @Purple Squirrel Enterprises

Role Description

Our client is looking for a Generative AI Application Engineer to design, build, and ship production generative AI features — API-based services, agents, and tools built directly against large language model (LLM) APIs — along with the application and data layers those features depend on.

This is a hands-on, mid-level engineering role , not a research position and not primarily a machine learning modeling position. The emphasis is on software engineering depth combined with applied generative AI experience:

• Substantial Python and API development history
• Direct development at the LLM API level
• Strong SQL skills

Development is performed using an AI-First / Specification-Driven development process. You'll work closely with product management, data engineering, and other members of the internal AI/Modeling team to translate requirements into shipped features — and to find opportunities to increase organizational efficiency using generative AI, models, and heuristics along the way.

Candidates must have generative AI applications running in production today and must be able to name them, describe their own contribution, and provide reachable references who can confirm that contribution.

Qualifications

• At least 5 years of professional software development experience, ideally within a software product organization
• At least 4 years of hands-on Python development experience
• At least 2 years of substantive generative AI development at the LLM API level
• At least two non-trivial generative AI applications you helped build that are in production today
• Strong SQL skills
• At least 4 years of experience working across multiple resource types in a hyperscaler environment
• Proficiency with version control practices and tools (Git and/or Azure DevOps)
• Reachable professional references covering the experience above

Requirements

• Design, build, and ship production generative AI features developed directly against LLM APIs
• Build and maintain the evaluation and regression harnesses
• Integrate generative AI components with existing product services, APIs, and data models
• Design, build, and maintain API-based applications and services
• Write and tune SQL against relational data models
• Deploy and operate application components across multiple resource types in a hyperscaler environment
• Contribute to model-based analytics
• Work with product management, data engineering, and AI/Modeling teammates
• Write automated tests appropriate to the work
• Monitor deployed AI applications in production
• Follow security, data handling, and change-management practices

Benefits

• Base salary: $135,000 – $150,000
• Full-time, W2 position, remote-friendly work environment
• $1,100/month company benefit contribution toward eligible pre-tax benefits
• Medical, dental, and vision coverage
• UHC Rewards program — earn up to $300 (non-HSA) or $1,000 (HSA) annually
• Employer-paid Life/AD&D insurance
• Employer-paid Short-Term and Long-Term Disability coverage
• Voluntary benefits available
• Employee Assistance Program (EAP)
• 401(k) plan with employer match
• Company holidays plus a Flexible Time Off (FTO) policy