[Hiring] Jr AI Engineer @Confie TA Admin

Role Description

The Junior AI Engineer will support the design, development, and deployment of AI-powered products and features leveraging state-of-the-art AI engineering practices and Large Language Models (LLMs). This role is ideal for recent graduates or early-career engineers eager to work on production-grade AI systems. The Jr. AI Engineer will contribute to building APIs, integrations, and monitoring pipelines, and will work with cross-functional teams to deliver reliable and scalable AI solutions.

• Assist in developing and deploying production-ready LLM-based applications and features.
• Implement and maintain APIs for accessing and interacting with AI models.
• Integrate AI-powered solutions with existing systems and workflows.
• Support model evaluation, monitoring, and performance tuning.
• Research and experiment with state-of-the-art AI/ML techniques (transformers, RAG, vector databases, fine-tuning).
• Participate in code reviews, knowledge-sharing sessions, and agile ceremonies.
• Document processes, models, and integrations in a clear and maintainable way.
• Apply forward-deployed engineering (FDE) principles — working closely with end users, understanding operational constraints, and iterating quickly.

Qualifications

• Bachelors degree in Computer Science, Artificial Intelligence, Software Engineering, or related field.
• Advanced English Level.
• 1 year of professional experience in AI/ML engineering or software development (internships, academic projects, or open-source contributions accepted).
• Solid foundation in Python programming (required).
• Basic understanding of APIs and integration concepts (required).
• Familiarity with version control (Git) and collaborative development workflows.
• Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
• Interest in AI/ML concepts, especially Large Language Models (LLMs) and transformers.
• Awareness of tools like PyTorch, TensorFlow, LangChain, or Hugging Face (training will be provided).
• Willingness to learn about deployment practices, CI/CD, and model monitoring.

Requirements

• Advanced English level.
• Experience in Python (required), Node.js or JavaScript (desirable).
• API development and integration.
• Git and version control workflows.
• Familiarity with CI/CD practices.
• Professional experience in AI/ML engineering or software development (internships, academic projects, or open-source contributions accepted).

Benefits

• Competitive weekly salary.
• Legal benefits.
• Christmas bonus.
• Savings fund.
• Profit sharing (PTU).
• Vacation days.
• Vacation premium.
• Extra paid days off.
• Private medical insurance and preventative care.
• Friendly work environment.
• Financing and discounts at local restaurants and coffee shops.
• Growth opportunities.