Senior Backend Software Engineer | AI Engine

Accountabilities:
As a Senior Backend Software Engineer focused on AI-powered platforms, you will be responsible for designing, building, and operating scalable backend services while contributing to the evolution of intelligent products. Design and deliver AI-powered backend features from concept to production, ensuring quality, reliability, performance, and cost efficiency. Build and maintain backend services and APIs capable of supporting real-world user demands and production workloads. Develop solutions involving LLMs, retrieval systems, prompts, and agent workflows, helping move AI experiments into reliable production features. Monitor and improve system performance through metrics, logs, traces, and operational insights. Design, review, and optimize technical solutions while challenging assumptions and promoting high engineering standards. Create observable and maintainable systems with strong attention to scalability, latency, and operational excellence. Collaborate closely with product, design, data science, and engineering teams to deliver impactful solutions. Participate in code reviews and architectural discussions, providing technical guidance and constructive feedback. Identify opportunities for improvement and proactively solve engineering challenges. Contribute to a collaborative culture focused on innovation, wellbeing, and continuous learning. Requirements: We are looking for a senior backend engineer with strong experience building production-grade systems, excellent problem-solving skills, and curiosity for AI-driven technologies. Proven experience developing and operating backend systems in production environments. Strong proficiency in Python and experience building scalable backend applications. Solid experience with AWS services, including serverless technologies such as AWS Lambda. Strong knowledge of SQL and NoSQL databases, including DynamoDB, OpenSearch, and PostgreSQL, with an understanding of data access patterns and performance considerations. Experience designing, integrating, and monitoring APIs in production environments. Experience working with event-driven architectures and messaging systems such as Kafka or SQS. Knowledge of production observability practices, including metrics, logs, traces, and alerting using tools such as Grafana, Prometheus, or OpenTelemetry. Comfortable working with distributed systems and solving loosely defined technical challenges. Strong communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders. Proactive mindset, ownership mentality, and willingness to continuously learn and improve. Nice-to-have qualifications: Experience with SQL optimization and data pipelines using tools such as Airflow. Experience building or operating LLM-powered systems, including evaluation frameworks, prompt engineering, retrieval systems, or agentic workflows. Familiarity with AI coding tools such as Cursor, Claude Code, or GitHub Copilot. Experience with Kotlin, Go, or Java for cross-team development. Experience with microservices and distributed architectures. Benefits: Remote work flexibility within Brazil. Flexible work schedule aligned with team needs and personal routines. Flexible benefits program that can be customized according to individual needs. Free wellness membership with access to fitness, meditation, nutrition, and wellbeing resources. Emotional wellbeing program with therapy sessions and personalized support. Health, dental, and life insurance. Home office reimbursement to support a productive workspace. Paid time off, including additional annual days off and birthday leave. Paid parental leave for new parents. Career development opportunities, learning platforms, and personalized growth plans. Support for continuous learning and professional development. Collaborative global culture focused on inclusion, innovation, and meaningful impact.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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