AI Engineer Trainee (Software-approach)
March 12, 2026
Open
Open
Location
Vietnam
Occupation
Internship
Experience level
Entry-level
Job Summary
Vị trí này tại Rackspace dành cho sinh viên năm cuối hoặc mới tốt nghiệp chuyên ngành công nghệ thông tin, làm việc từ xa tại Việt Nam theo hợp đồng cố định. Ứng viên sẽ tham gia xây dựng hệ thống phần mềm cho các AI agent tự động hóa xử lý dữ liệu, phát triển connector, kiểm thử code AI và triển khai các microservices với các công cụ hiện đại như Azure hoặc Airflow.
Yêu cầu gồm thành thạo Python, hiểu sâu về cấu trúc dữ liệu, OOP, SQL, và có trải nghiệm thực tế với API LLM (OpenAI, Anthropic, Azure AI). Ứng viên cần tư duy kỹ lưỡng, chú trọng tới hiệu năng hệ thống và khả năng học hỏi nhanh các công nghệ mới.
We are looking for a Software-focused Trainee who treats AI as a powerful tool in their engineering toolkit. Instead of just "prompting," you will help us build the robust software systems that allow AI Agents to execute SQL, manage dbt models, and interact with data pipelines reliably.
Key Responsibilities
System Integration: Assist in building the "connectors" between LLMs and real-world data tools (Airflow, dbt, Microsoft Fabric).
Reliable Execution: Help develop validation layers to ensure AI-generated code (SQL/Python) is syntactically correct and follows governance standards.
Agentic Workflows: Support the implementation of multi-step reasoning cycles (Plan-Act-Observe) using frameworks like LangGraph or CrewAI.
Infrastructure Support: Work with Azure Functions and Container Apps to deploy and scale AI-driven microservices.
Evaluations as Code: Build automated test suites to benchmark agent performance and detect regressions in reasoning.
Required Skills & Qualifications
Strong Software Engineering Foundation: * Proficient in Python (focus on clean code, modularity, and error handling).
Solid understanding of Data Structures, Algorithms, and OOP.
Comfortable with Git workflows and RESTful API consumption.
AI Implementation Skills:
Hands-on experience calling LLM APIs (OpenAI, Anthropic, or Azure AI).
Practical understanding of Agentic AI concepts: How agents use tools, memory, and self-correction.
Knowledge of Structured Outputs (Pydantic/JSON schemas) to make AI outputs machine-readable.
Data Literacy: Good command of SQL. You should be able to write and debug complex queries manually before trying to automate them with AI.
Education: Final year student or recent graduate in CS, Software Engineering, or related fields.
Preferred/Nice-to-have
Experience with Docker or basic Cloud infrastructure (Azure/AWS).
Familiarity with Asynchronous Programming in Python (asyncio).
Contribution to open-source projects or a strong GitHub portfolio showing clean software design.
Traits We Look For
Engineering Rigor: You care about edge cases, latency, and system reliability, not just "cool" AI demos.
Problem-First Mindset: You look for the best engineering solution, even if it sometimes means not using AI.
High Learnability: You can read a technical API doc or a new AI research paper and translate it into working code quickly.
What You Will Gain
Mentorship from Senior Engineers on building production-grade Agentic systems.
Exposure to the Azure AI Foundry ecosystem and enterprise-level DataOps.
A chance to be at the forefront of the shift from "Chat" to "Autonomous Agents.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Rackspace
Be ready for whats next with multicloud solutions from Rackspace Technology. We are the multicloud solutions experts. We know what you're up against because we've helped global companies across industries through it and you can bet we're ready to help. Our team delivers results by listening to your challenges and building custom cloud services and solutions that help your business perform better now and into the future.
HQ Location
San Antonio, Texas
Company size
1-10
Founded in
Industry
IT Services and IT Consulting