Generative AI Engineer

Role Description

We are seeking a Generative AI Engineer to own the hands-on technical delivery of production GenAI systems - from architecture and implementation through deployment, operations, and continuous improvement. This role covers the full stack of modern GenAI engineering:

• LLM application design
• Agentic and RAG workflows
• Structured output patterns
• Evaluation pipelines
• Operational safeguards
• Integration with enterprise data sources and cloud-native services

Beyond building, this person helps to define the technical standard for GenAI work on the team:

• Establishing engineering patterns
• Owning architectural decisions
• Serving as the primary authority on GenAI best practices and tooling

The right candidate brings deep, demonstrable production GenAI experience, a strong sense of operational ownership, and the technical credibility to lead by example.

Qualifications

• Demonstrated experience shipping production-grade LLM or generative AI systems
• Experience building automated evaluation pipelines for LLM outputs
• Experience implementing human-in-the-loop controls and content guardrails
• Strong track record designing, building, and operating complex distributed systems
• Experience with CI/CD pipeline design and operation for AI services
• Proven ability to define and enforce GenAI engineering standards
• Experience designing and operating cloud-native APIs and microservices
• Experience integrating AI systems with enterprise data sources
• Demonstrated track record of shipping production AI systems iteratively
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Requirements

• Experience designing and operating agentic AI systems and multi-step RAG architectures
• Hands-on experience with Azure OpenAI and related Azure services
• Experience with Python frameworks commonly used in production AI services
• Familiarity with PySpark notebooks for data pipeline development
• Experience deploying and managing containerized AI workloads
• Familiarity with responsible AI principles and AI governance frameworks
• Familiarity with Bronze/Silver/Gold medallion architecture
• Domain experience in product data, PIM, ERP, or analytics platforms
• Master's degree in Computer Science, Artificial Intelligence, or related field

Benefits

• Prolonged periods in a stationary position at a desk and working on a computer
• Must be able to communicate effectively via video conferencing, phone, and written correspondence
• Occasional travel may be required depending on project or business needs

Accommodation

Candidates for the position should be able to perform essential job duties in described work environment with or without accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Equal Employment Opportunity

Infinite Electronics is committed to building a diverse workforce and providing equal employment opportunities to all qualified candidates. All hiring decisions are based on qualifications, skills, and business needs, without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, age, national origin, disability, or any other status protected by applicable law.