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Updated 2026-06-15 13:00 UTC·© 2025–2026 RoleSuite
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Senior Data/ML Engineer

Jobgether · Brazil

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data/ML Engineer based in Brazil.

This role sits at the intersection of data engineering, machine learning, and modern AI systems, focusing on building end-to-end data platforms that power analytics, LLM-driven applications, and intelligent BI solutions. You will be responsible for designing scalable data pipelines and architectures that enable high-quality data flow across warehouses, feature stores, and real-time inference systems. The position requires strong expertise in both traditional data engineering and emerging LLM/AI paradigms, including retrieval-augmented generation and vector-based search systems. You will collaborate closely with BI, data science, and business stakeholders to translate complex requirements into robust and scalable solutions. A key part of your work will involve enabling AI-powered insights, semantic search, and advanced analytics capabilities across the organization. This is a highly technical and innovative environment where engineering excellence and continuous learning are essential to success.

Accountabilities:

  • Design, build, and maintain scalable end-to-end data pipelines for ingestion, transformation, and delivery across data platforms and ML systems.
  • Develop workflows for structured and unstructured data processing, enabling semantic search and advanced retrieval capabilities.
  • Architect and implement analytics and BI solutions with AI-driven and natural language query functionalities.
  • Define and support prompt engineering strategies, orchestration workflows, and model fine-tuning processes for LLM-based applications.
  • Manage and optimize vector databases and indexing strategies for retrieval-augmented generation (RAG) systems.
  • Collaborate with BI, engineering, and business teams to translate requirements into scalable data and ML solutions.
  • Ensure documentation of data workflows, pipelines, and model deployment processes.
  • Stay up to date with advancements in data engineering, MLOps, and LLM ecosystems.
  • Requirements:

    • 8+ years of experience in Data Engineering, including at least 2 years focused on MLOps or ML-driven systems.
    • Strong proficiency in Python for data processing, transformation, and large-scale data engineering tasks.
    • Deep understanding of vector databases, semantic search, and RAG architectures.
    • Experience integrating LLM frameworks into production data workflows (training, fine-tuning, and inference).
    • Hands-on experience with cloud platforms such as AWS or Azure, including ML/AI services.
    • Strong experience with distributed data processing tools such as Apache Spark, Hadoop, and Kafka.
    • Solid knowledge of SQL/PLSQL and data warehouse technologies (Snowflake, Redshift, or similar).
    • Experience designing complex data pipelines from multiple sources (APIs, RDBMS, JSON, flat files).
    • Strong understanding of software engineering principles and experience working in Agile environments.
    • Proficiency with Git and collaborative development workflows.
    • Strong communication skills in English (written and spoken).
    • Nice to have: experience with LangChain, LlamaIndex, Hugging Face, vector DBs (e.g., DataStax AstraDB), CI/CD for MLOps, and LLM optimization techniques.
    • Benefits:

      • Fully remote work opportunity (LATAM-based).
      • Competitive compensation aligned with senior-level expertise.
      • Opportunity to work on cutting-edge AI, LLM, and data platform initiatives.
      • International, English-speaking engineering environment.
      • Exposure to large-scale data systems and advanced AI architectures.
      • Flexible work setup with autonomy and ownership of technical solutions.
      • Continuous learning and exposure to modern MLOps and AI technologies.

AI Engineering pay context

Based on 595 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $203K/year, with most offers between $164K and $244K (10th–90th percentile: $132K–$285K).

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