Senior AI Backend Engineer
New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 8+ years
- Required Skills
- PythonData engineering
Requirements
- 8+ years of experience in backend engineering, with strong expertise in Python and production-grade system development.
- Proven experience in client-facing or consulting environments, translating business requirements into technical solutions and system designs.
- Strong ability to manage priorities, define roadmaps, and balance competing initiatives based on feasibility, impact, and business value.
- Demonstrated stakeholder management skills, with the ability to communicate effectively with both technical teams and business stakeholders.
- Experience working in structured, production environments with a focus on scalability, reliability, and maintainability.
- Strong understanding of backend architecture, API design, and system integration patterns.
- Exposure to data engineering concepts such as ingestion pipelines or data processing at scale.
- Familiarity with LLMs, agentic systems, or applied AI architectures is strongly preferred.
- Experience working in or building tools for financial services or research-driven environments is a plus.
- Strong ownership mindset with the ability to operate independently and drive technical delivery end-to-end.
- Excellent English communication skills (fluent or near-native required).
Responsibilities
- Maintain and evolve backend systems powering an AI-based research and analysis platform built primarily in Python, ensuring reliability, scalability, and production-grade performance.
- Build and optimize data ingestion pipelines that integrate external sources such as APIs, datasets, and warehouse systems into the application layer.
- Design and implement integrations of LLMs and agent-based systems into backend workflows to enable intelligent automation and reasoning capabilities.
- Collaborate with frontend, DevOps, and full-stack engineers to deliver complete end-to-end features in a small, agile team.
- Ensure system reliability, performance optimization, and data integrity across all backend services in production environments.
- Translate client workflows, research needs, and stakeholder requirements into scalable backend architectures and technical specifications.
- Contribute to ongoing architectural decisions across backend, data, and AI layers, influencing long-term platform direction.
- Engage directly with clients and non-technical stakeholders to clarify requirements and shape delivery priorities.
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