Senior AI Backend Engineer
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Backend Engineer based in Brazil.
This role sits at the intersection of backend engineering and applied artificial intelligence, building the core systems behind an AI-powered research and analysis platform. You will design and extend backend services that integrate LLMs and agentic workflows into production-grade applications used in real client environments. The position combines strong Python backend development with system design, data integration, and AI orchestration responsibilities. You will work closely with a small, cross-functional team to deliver end-to-end features while ensuring reliability, scalability, and performance. The role is highly client-facing, requiring strong communication skills and the ability to translate business needs into technical solutions. It is ideal for an engineer who enjoys ownership, autonomy, and shaping architecture in a fast-evolving AI-driven product space.
Accountabilities:
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.
- 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 is highly valued.
- 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).
- Bonus: strong appetite for growth into a technical lead role with architectural ownership responsibilities.
- Fully remote role based in Latin America with flexible working arrangements.
- Competitive compensation aligned with senior-level engineering expertise.
- Opportunity to work on cutting-edge AI systems combining backend engineering and LLM technologies.
- High-impact, client-facing role with exposure to real-world business challenges.
- Career growth opportunities, including progression into technical leadership roles.
- Collaborative, fast-moving environment with strong ownership and autonomy.
Requirements:
8+ years of experience in backend engineering, with strong expertise in Python and production-grade system development.