Generative AI Engineer

Job Description

Generative AI Engineer

Location: Remote (U.S.)

Salary Range: $120k to $170k

About The Role

We are seeking a highly skilled Generative AI Engineer to lead the end-to-end delivery of production-grade AI systems. This role is responsible for designing, building, deploying, and continuously optimizing scalable generative AI solutions that integrate seamlessly with enterprise systems. You will act as a technical authority, shaping best practices and driving innovation across AI initiatives.

What You’ll Do

• Own the full lifecycle of generative AI systems, from architecture and development to deployment, monitoring, and optimization
• Design and build LLM-powered applications, including agent-based workflows, multi-step RAG pipelines, and enterprise AI solutions
• Establish and enforce engineering standards across prompt design, orchestration, structured outputs, and workflow lifecycle management
• Serve as a technical leader for GenAI, guiding architecture decisions and best practices
• Integrate AI systems with enterprise data, internal APIs, and cloud-native services
• Evaluate and select models, implement routing strategies, and optimize for latency, cost, and performance
• Continuously assess emerging AI tools and improve existing systems
• Own system performance across reliability, scalability, throughput, and cost efficiency
• Build and maintain observability frameworks (monitoring, tracing, logging, alerting)
• Design and manage CI/CD pipelines, including versioning and release processes
• Lead incident response and root cause analysis, implementing long-term fixes
• Develop evaluation pipelines for LLM outputs, including regression testing and failure analysis
• Implement safeguards such as human-in-the-loop workflows, schema validation, and output controls
• Ensure systems are secure against prompt injection, data leakage, and unauthorized access
• Collaborate with leadership and cross-functional teams to define and execute AI initiatives
• Provide hands-on technical guidance, mentoring, and code reviews
• Promote iterative delivery with frequent releases and continuous feedback loops
  
  

Required Qualifications

• Proven experience building and deploying production-grade LLM or generative AI systems
• Strong expertise in prompt design, orchestration, and model tradeoffs
• Experience developing evaluation frameworks for AI outputs and validating quality
• Solid background in distributed systems and production software engineering
• Experience with CI/CD pipelines, release management, and operational ownership
• Demonstrated ability to define technical standards and influence architecture decisions
• Experience with cloud-native systems, APIs, and event-driven architectures (Azure or similar)
• Experience integrating AI solutions with enterprise data and security requirements
• Bachelor’s degree in a technical field or equivalent practical experience
  
  

Preferred Qualifications

• Experience with advanced RAG pipelines and agent-based AI systems in production
• Familiarity with cloud AI services and modern infrastructure tooling
• Experience with Python-based AI frameworks and data pipelines
• Experience with containerization and deploying AI workloads
• Knowledge of responsible AI practices and governance
• Domain experience in areas such as product data, ERP, ecommerce, or analytics platforms