Seeking candidates with experience in traditional ML techniques and generative agentic workflows for a fast-paced environment. Applicants are encouraged to email a Loom demo with walkthroughs of their top two projects.
Key Requirements
- Prior internship in AI/ML, or quality projects using Python/NodeJS.
- Experience building agentic workflows and AI pipelines (mandatory).
- Work with AI voice agents using STT/TTS.
- Experience with retrieval RAGs or knowledge graphs.
- Prompt engineering proficiency.
- GitHub and Google Colab comfort.
Bonus Skills
- Model training in text, image, or voice domains.
- Dashboard/workflow creation using Claude Code or Codex.
- PostgreSQL, rate limiting, and basic security knowledge.
Core Responsibilities
- Build pipelines and prepare high-quality datasets with the content team.
- Research and implement approaches from academic papers/blogs.
- Execute AI experiments and fine-tuning tasks.
- Stay current with emerging models, training techniques, and tools.
- Demonstrate smooth communication, ownership, and agility.