Senior Backend Software Engineer | AI Engine
Job Description
Team: IT
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Backend Software Engineer | AI Engine in Brazil.
This role is part of a high-impact AI engineering team focused on building and operating backend systems that power real-world, production-grade LLM applications. You will be responsible for designing scalable services and APIs that deliver AI-driven features with strong requirements for performance, reliability, latency, and cost efficiency. The position sits at the intersection of backend engineering and applied AI, where experimentation quickly evolves into production-ready systems. You will work in a highly collaborative, cross-functional environment involving product, data science, and engineering teams. The role requires strong ownership of production systems, with a focus on observability and continuous improvement. This is an opportunity to contribute directly to the evolution of AI-powered user experiences at scale in a global, fast-paced environment.
Accountabilities:
- Design, build, and maintain scalable backend services and APIs that power AI-driven features in production environments.
- Take ownership of end-to-end delivery of AI features, ensuring performance, reliability, latency, and cost efficiency.
- Support the transition of prompts, retrieval systems, and agent-based workflows from experimentation to production.
- Implement and maintain robust observability, including metrics, logs, traces, and alerting to monitor system health.
- Optimize distributed systems and event-driven architectures for scalability and resilience.
- Conduct code and architecture reviews, ensuring technical quality and challenging design assumptions when necessary.
- Collaborate closely with product, data science, and engineering teams to deliver impactful AI solutions.
- Continuously improve backend systems based on production insights and performance data.
- Strong professional experience with Python and backend development in production environments.
- Proven track record of designing, building, and operating scalable backend or distributed systems.
- Solid experience with AWS services, including serverless architecture (e.g., Lambda).
- Strong knowledge of SQL and NoSQL databases (e.g., DynamoDB, Postgres, OpenSearch), including data modeling and access patterns.
- Experience designing and integrating APIs in production systems.
- Familiarity with event-driven architectures (e.g., Kafka, SQS).
- Strong understanding of observability practices, including metrics, logging, tracing, and monitoring tools (e.g., Prometheus, Grafana, OpenTelemetry).
- Experience working with distributed systems and complex, loosely defined technical problems.
- Strong communication skills and ability to collaborate across technical and non-technical stakeholders.
- Bonus: experience with LLM-based systems in production (prompting, retrieval, evaluation, agent workflows).
- Bonus: experience with data pipelines (e.g., Airflow) and AI development tools.
- Bonus: knowledge of Kotlin, Go, or Java for cross-team system integration (mandatory consideration in multi-language environments).
- Competitive compensation and performance-based incentives.
- Flexible-first culture with remote work options and home office support.
- Comprehensive health, dental, and life insurance coverage.
- Paid time off, including extended vacation and additional personal days.
- Birthday day off and parental leave with extended support for new parents.
- Wellness platform with fitness, mindfulness, nutrition, and mental health resources.
- Emotional wellbeing program with therapy sessions and guided support.
- Career development programs, learning platforms, and internal growth opportunities.
- Flexible scheduling aligned with team and time zone needs.
- Inclusive and collaborative global culture focused on wellbeing and work-life balance.
Requirements:
Benefits:
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Date Posted
05/29/2026
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