Andela’s research team analyzed nearly 50,000 recent job postings using an internal skill taxonomy and ontology to uncover emerging skill bundles that have not yet been formalized into job titles. By mapping the frequency and co‑occurrence of specific competencies across the postings, they identified several nascent roles: LLM application engineers who construct API harnesses, run evaluations, and implement governance for large‑language‑model products; FinOps reliability engineers who track and optimize both end‑user cloud consumption and developer‑tooling expenses in consumption‑based architectures; and docs‑as‑code engineers who treat specification writing as a core engineering activity, creating context for agentic development in large code bases. The analysis also revealed skill bleed between traditional roles—for example, front‑end engineers taking on product‑management tasks (described as an “F‑shaped” profile) and back‑end engineers needing model‑deployment and scalability knowledge. These findings show that while job titles lag behind actual work, statistically significant, niche skill groupings are emerging in hiring data, providing concrete targets for upskilling and more precise role definition.