INTL Brazil - LLM Data Engineer – GenAI / Backend

Job Description

What We’re Looking For This role is best suited for an engineer who is comfortable working beyond traditional ETL and analytics. We are looking for someone who can work across data engineering and backend development to build the infrastructure and services required for modern AI applications. The successful candidate should be comfortable connecting data, APIs, tools, and enterprise systems to LLMs and AI agents and helping take those solutions from prototype through production.

Skills and Requirements

Data Engineer – GenAI / Backend Engineering Location: Nearshore – Latin America (Remote) Department: Machine Learning Engineering (MLE) Overview We are seeking an experienced Data Engineer with strong backend engineering expertise to support the development of enterprise Generative AI and agentic solutions. This role will focus on building scalable data infrastructure, backend services, integrations, and data pipelines that enable AI applications, agents, and Model Context Protocol (MCP)-based solutions. The ideal candidate combines traditional data engineering experience with strong software engineering fundamentals and hands-on experience building backend systems that connect AI applications to enterprise data, APIs, tools, and services. Responsibilities Design, build, and maintain scalable data pipelines and backend services supporting Generative AI and machine learning applications. Develop backend APIs, services, and integrations that connect AI agents and applications with enterprise systems and data sources. Build and maintain Model Context Protocol (MCP) servers and integrations that enable AI applications and agents to securely access tools, services, and enterprise data. Support the development of AI agents and agentic workflows, including tool integration, orchestration, and data access. Design and implement secure integrations between LLM-powered applications and enterprise systems, including authentication, authorization, identity propagation, and governance controls. Build reliable ETL/ELT pipelines for structured and unstructured data used by AI and ML applications. Develop Python-based backend components and services for production AI applications. Design data models and data access patterns optimized for AI/ML and GenAI use cases. Integrate applications with REST APIs, databases, cloud services, and internal enterprise platforms. Implement appropriate authentication, authorization, logging, monitoring, error handling, and data security practices. Optimize backend services and pipelines for scalability, reliability, performance, and maintainability. Collaborate with ML Engineers, LLM Engineers, Software Engineers, Solution Architects, and product teams to move AI solutions from development into production. Participate in code reviews, testing, documentation, deployment, and ongoing production support. Required Qualifications Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent professional experience. 5+ years of experience in data engineering, backend engineering, software engineering, or a related role. Strong proficiency in Python and SQL. Strong experience developing backend services and APIs, including REST-based integrations. Experience designing and building scalable data pipelines and ETL/ELT workflows. Hands-on experience with data processing and orchestration technologies such as Apache Spark, Airflow, or Argo. Experience working with cloud platforms, preferably AWS, and cloud-based data technologies such as Redshift or equivalent platforms. Strong understanding of databases, data modeling, data warehousing, and distributed data processing. Experience with software engineering best practices including Git, CI/CD, testing, code reviews, and production support. Experience building production-quality systems with appropriate monitoring, logging, security, and error handling. Strong problem-solving skills and ability to work effectively in a distributed engineering environment. GenAI / AI Engineering Experience Candidates should have hands-on experience with or strong exposure to modern Generative AI application development, including: Model Context Protocol (MCP) servers, clients, or integrations. AI agents and agentic workflows, including tool/function calling and orchestration. Integration of LLMs with enterprise data sources, APIs, databases, and backend systems. Building backend services that support GenAI or LLM-powered applications. Working with structured and unstructured data for AI applications. Familiarity with retrieval-based architectures such as RAG, embeddings, and vector databases. Preferred Qualifications Experience developing enterprise Generative AI applications in production environments. Experience with agent frameworks or orchestration technologies such as LangChain, LangGraph, Semantic Kernel, or similar frameworks. Familiarity with LLM platforms and APIs such as Azure OpenAI, Amazon Bedrock, OpenAI APIs, or equivalent technologies. Experience with Docker, Kubernetes, or containerized application deployment. Familiarity with event-driven or microservices-based architectures. Experience working in an enterprise ML or AI engineering organization. Familiarity with responsible AI, data governance, security, and access-control considerations for enterprise AI applications.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].