Skills : Python,
The broad, catch-all title for engineers building applications on top of foundation models — spanning RAG, agents, fine-tuning, and infrastructure. Overtook "ML Engineer" as the fastest-growing tech title in 2026. Scope varies widely by company size.
Job Description:
The broad, catch-all title for engineers building applications on top of foundation models — spanning RAG, agents, fine-tuning, and infrastructure. Overtook "ML Engineer" as the fastest-growing tech title in 2026. Scope varies widely by company size.
Key Skills:
- Python, API integration with LLM providers (OpenAI, Anthropic, open-source models)
- Prompt engineering and evaluation design
- Vector search / RAG architecture
- Basic ML fundamentals (embeddings, fine-tuning concepts)
- Software engineering fundamentals (testing, version control, CI/CD)
Experience Required:
- 1–5 years software engineering; 6 months–2 years hands-on LLM application work strongly preferred
- Portfolio projects (GitHub repos, deployed demos) often weigh as much as formal experience