AI Engineer
Role details
Job location
Tech stack
Job description
- 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. This role focuses on building active APIs, microservices, and real-time serving infrastructure. It is not a Data Engineering role focused on ETL or batch processing pipelines.
- Collaborate with product and cross functional teams to refine requirements and translate them into clear technical plans.
- Contribute to system design, architecture reviews and code quality improvements.
- Support innovation and continuous improvement by identifying opportunities and driving technical initiatives.
Requirements
We are seeking an AI Engineer with strong backend skills to design, build and scale AI driven capabilities. The role focuses on building robust AI systems, developing the surrounding LLM harness and quality frameworks, leveraging advanced GenAI techniques, and implementing production monitoring for end-to-end delivery in a fast-paced environment. This opportunity is heavily focused on backend and GenAI work., * 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.
- 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.
Benefits & conditions
The range displayed on this job posting reflects the minimum and maximum target for new hire base salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. ERGO NEXT employees are also potentially eligible for our annual performance-based incentive program, in addition to our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more.
US annual base salary range for this full-time position:
$152,000-$220,000 USD