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Ai Gateway Engineer
Job summary
A consulting firm in Brazil is seeking an AI Gateway Engineer to join their team. You will be responsible for designing and managing AI/API gateways, developing backend services in Go, and optimizing AI/ML models. Ideal candidates will have strong experience in AWS and observability tools, along with a history of working in enterprise environments. This role offers a remote work option, particularly preferred in the LATAM region and is expected to last over a year.
Qualifications
- Proven experience with API or AI gateways (e.g., Kong, Mosaic, Portkey).
- Strong backend development skills, particularly in Go; proficiency in Python is a plus.
- Experience with AI / ML optimization and productization.
- Expertise in AWS, including its various services for building scalable applications.
- Familiarity with observability tools like OTel, Grafana, and Prometheus.
- Practical experience with prompt engineering.
- A history of working in enterprise-grade environments.
Responsibilities
- Design and manage AI / API gateways like Kong, Mosaic, or Portkey.
- Develop and maintain backend services, primarily using Go, with Python as a secondary skill.
- Optimize and productize AI / ML models for production use.
- Leverage AWS to build and manage our cloud infrastructure.
- Implement and manage observability tools to monitor system health.
- Apply prompt engineering techniques to improve AI models.
- Collaborate with cross-functional teams for seamless integration.
Skills
AI Gateway EngineerWe are seeking a skilledAI Gateway Engineerto join our team.
The ideal candidate will have hands‑on experience with AI or API gateways, a strong background in backend development, and expertise in deploying and optimizing AI / ML models in a production environment.
You will be instrumental in building and scaling our AI infrastructure within an enterprise‑grade setting.
- Design and manage AI / API gateways like Kong, Mosaic, or Portkey.
- Develop and maintain backend services, primarily using Go , with Python as a valuable secondary skill.
- Optimize and productize AI / ML models for production use, ensuring performance, scalability, and reliability.
- Leverage AWS to build and manage our cloud infrastructure.
- Implement and manage observability tools, including OpenTelemetry (OTel), Grafana, and Prometheus , to monitor system health and performance.
- Apply prompt engineering techniques to improve the efficiency and effectiveness of AI models.
- Collaborate with cross‑functional teams to ensure seamless integration and deployment of AI solutions.
- Proven experience with API or AI gateways (e.g., Kong, Mosaic, Portkey).
- Strong backend development skills, particularly in Go ; proficiency in Python is a plus.
- Experience with AI / ML optimization and productization .
- Expertise in AWS , including its various services for building scalable applications.
- Familiarity with observability tools like OTel, Grafana, and Prometheus.
- Practical experience with prompt engineering .
- A history of working in enterprise‑grade environments .
Location : Remote (preferred in LATAM region)
Length : 1+ Year
Client : Gaming Giant
The difference between something good and something great is attention to detail – AVM Consulting.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.