AI Engineer

Responsibilities

• Design, implement and optimize backend services that support AI workflows.
• Integrate ML and LLM models into production systems with focus on performance, reliability and scalability.
• Building and owning AI features end to end.
• Evaluating/monitoring AI systems in pre-release/production environments.
• Building reliable AI systems and writing production code.
• Experience building or maintaining backend services or microservices.
• Diagnose complex issues across data pipelines, model serving and backend components.

Requirements

• 4+ years of backend engineering experience in Python, Go, Java or similar.
• Familiarity with evaluating model performance using metrics.
• Proven experience building high performance or distributed systems.
• 4+ years of hands on experience integrating ML or LLM models into production.
• Strong understanding of cloud infrastructure, microservices and observability.
• Ability to operate effectively under ambiguity and navigate dynamic environments.
• Strong communication and collaboration skills.

Benefits

• Hybrid Work Model: This role supports a flexible hybrid work model, requiring a minimum of three days per week on-site in the office, per company policy.

Pay

• US Annual Base Salary Range For This Full-time Position $152,000—$220,000 USD