Junior Product Engineer
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AI. Main Responsibilities Product Engineering Support
• Support the development of AI-driven features by implementing technical requirements under guidance
• Build and maintain Python-based applications and APIs using FastAPI or Flask
• Collaborate with senior engineers and product teams to understand and implement user-facing features AI & API Integration
• Assist with integrating LLM APIs (Gemini, GPT) for use cases like audience insights and content generation
• Help connect external advertising APIs (Meta, Google Ads, TikTok, Amazon Ads)
• Learn and apply prompt engineering techniques to improve AI outputs Cloud Deployment & DevOps
• Deploy services to cloud environments (Google Cloud Run) with support from senior team members
• Participate in CI/CD processes and learn deployment best practices
• Monitor application performance and troubleshoot issues Learning & Collaboration
• Work closely with cross-functional teams including product managers, designers, and data scientists
• Participate in code reviews and learn from senior engineers
• Document your work and communicate progress effectively Education
• Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience) Previous Experience
• 0-1 years of professional experience or strong internship/project portfolio Language Skills
• Good working knowledge in English Key Competencies
• Basic Python programming skills (familiarity with frameworks like FastAPI or Flask is a plus)
• Understanding of APIs and how to work with them
• Foundational knowledge of software development principles and data structures
• Eagerness to learn about LLM technologies and AI applications
• Basic familiarity with Git and version control
• Problem-solving mindset and attention to detail
• Strong communication skills and ability to ask questions
• Comfortable working in a collaborative, multicultural team environment Nice To Have
• Exposure to cloud platforms (Google Cloud, AWS, or Azure)
• Any experience with AI/ML projects (coursework, personal projects, or internships)
• Basic understanding of Docker or containerization concepts
• Interest in advertising technology or digital marketing
• Participation in coding bootcamps, hackathons, or open-source projects
• Familiarity with API testing tools (Postman, curl) What You'll Learn
• Production-grade Python development and API design
• Working with cutting-edge LLM technologies in real business applications
• Cloud deployment and DevOps practices
• Advertising technology ecosystem and campaign automation
• Agile product development workflows
• Cross-functional collaboration in a global organization
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