Machine Learning Engineer (AI Systems)
Hikaflow is building an AI-powered developer productivity platform focused on automated code review, security analysis, regression detection, contributor insights, and intelligent documentation. We are looking for a motivated Machine Learning Engineer who wants hands-on experience working on real production AI systems used by engineering teams.
This is an internship designed for individuals who want deep, practical exposure to applied AI in a startup environment, strong portfolio material, and direct collaboration with the founding team.
What You’ll Work On
• Designing and improving ML-powered systems for code analysis, pattern detection, and developer insights
• Working with LLMs for tasks such as code understanding, summarization, and automated review workflows
• Building and evaluating data pipelines for model inputs and outputs
• Improving signal quality, reducing false positives, and designing trustable AI outputs for engineers
• Collaborating on system design decisions across ML, backend, and product
What We’re Looking For
• Background or strong interest in machine learning, AI, or data-driven systems
• Familiarity with Python and common ML or AI tooling
• Comfort working with APIs, structured data, and experimentation
• Strong curiosity and willingness to learn quickly in an unstructured environment
• Ability to work independently and take ownership of meaningful tasks
Nice to Have (Not Required)
• Experience with LLMs, embeddings, or prompt engineering
• Experience analyzing or working with source code programmatically
• Exposure to backend systems, developer tools, or SaaS products
• Prior internships, research, or strong personal projects
What You’ll Get
• Real-world experience building AI systems used by actual teams
• Direct mentorship and feedback from the founding team
• Strong resume and portfolio material tied to concrete product features
• Insight into how early-stage AI products are designed, built, and shipped
Apply if you want to work on real AI systems and build something that matters.
Apply Now
Apply Now