Build and maintain APIs that integrate generative AI models with our data platforms for reliable, efficient data flow
Design AI-powered automation for data processing workflows, extraction, transformation, and insight generation
Develop prompt strategies, few-shot learning techniques, and RAG pipelines to optimize model outputs
Collaborate with data and business teams to identify AI opportunities that drive efficiency and better decision-making
Support data quality and governance standards, ensuring AI outputs are accurate and aligned with best practices
Maintain clear documentation of AI solutions and integration points for team knowledge sharing

Bachelor's degree in Computer Science, Data Science, AI, or related field
Strong Python programming skills with hands-on experience building scripts, pipelines, or applications
Working knowledge of large language models and experience with AI/ML APIs (OpenAI, Gemini, Hugging Face)
Familiarity with prompt engineering and RAG architectures from projects, coursework, or experimentation
Basic understanding of cloud platforms (AWS, GCP, Azure) and RESTful API development
Proactive learning mindset — you follow the AI space closely and enjoy experimenting with new tools

You'll enjoy genuine collaboration in an ego-free environment where your ideas count
Flexibility to work in ways that suit you while making real, measurable impact on our mission

AI Engineer

Key skills