Senior AI Backend Engineer

Jobgether·Lever
BrazilFull-timePosted Jul 1, 2026
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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.

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.
    • 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 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.
      • Benefits:

        • 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.
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. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

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