Internship / Residency
6+ Months of Real AI Engineering Experience
The internship phase is where participants move from structured learning into hands‑on delivery, working on real AI products with Codenetix and partner organizations.
What You Will Work On
Interns join active initiatives as AI Implementation Engineers in training, contributing to:
- LLM and RAG‑based internal copilots
- Document intelligence and automation solutions
- Customer‑facing AI products and integrations
- Cloud deployment, monitoring, and optimization
Internship Models
- Sponsored internships (paid stipends where applicable)
- Unsponsored internships for experience‑focused projects
- Hybrid models with performance‑linked rewards
Specific terms may vary by partner and project. Selection into sponsored roles is performance‑based.
Internship Sources
- Codenetix internal AI initiatives and client work
- Early‑stage AI startups and SaaS companies
- Enterprise automation and AI adoption projects
Performance‑Based Conversion
High‑performing interns may be considered for full‑time roles where there is mutual fit and business need.
- Structured feedback from mentors
- Periodic performance reviews
- Opportunity to own end‑to‑end features