LLM-based systems jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, LLM-based systems appears in 224 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning LLM-based systems.
Last updated · 90d ending 2026-10-29
Which roles want LLM-based systems?
Upload your resume and Skillenai will show which roles your LLM-based systems experience fits, which skills you already cover, and what is missing.
Frequently asked questions about LLM-based systems
+Is LLM-based systems in demand in 2026?
Yes. LLM-based systems appears in 224 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Software Engineer accounts for the most postings mentioning LLM-based systems (10.7% of all postings mentioning LLM-based systems).
+What jobs require LLM-based systems?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning LLM-based systems are Forward Deployment Engineer (11.9% of that role’s postings mention LLM-based systems), Agent Engineer (11.5% of that role’s postings mention LLM-based systems), AI Enablement Specialist (9.1% of that role’s postings mention LLM-based systems).
+What skills are commonly paired with LLM-based systems?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), LLM-based systems most often appears alongside Python, machine learning, model evaluation, prompting, System design.
+Where is LLM-based systems most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring LLM-based systems are San Francisco, Singapore, Berlin, Munich, London, according to the Skillenai jobs index.
+How can I keep up with new LLM-based systems content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning LLM-based systems alongside the jobs index. You can subscribe to a daily email digest of new LLM-based systems content from your Skillenai account.
+Which skills come before and after LLM-based systems?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring LLM-based systems — last 90 days
Career paths around LLM-based systems
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before LLM-based systems
Skills after LLM-based systems
No published outgoing skill pairs yet.
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: NLP | 1 |
| Before: Churn-Prediction | 1 |
| Before: Azure DevOps | 1 |
| Before: LLM-based applications | 1 |
| Before: Protractor | 1 |
| Before: Flan-T5 | 1 |
| Before: data pipelines | 1 |
| Before: regulatory standards | 1 |
Roles most likely to require LLM-based systems
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Forward Deployment Engineer | 5 | 11.9% |
| Agent Engineer | 3 | 11.5% |
| AI Enablement Specialist | 2 | 9.1% |
| AI Security Specialist | 2 | 8.3% |
| Technical Lead Manager | 2 | 5.7% |
| Product Lead | 7 | 5.3% |
| Senior Data Scientist | 1 | 3.7% |
| AI Solution Engineer | 1 | 3.3% |
| Principal Data Scientist | 1 | 2.5% |
| Technical Product Lead | 7 | 2.5% |
Roles with the most LLM-based systems postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 24 | 10.7% |
| AI Engineer | 21 | 9.4% |
| Technical Product Manager | 16 | 7.1% |
| Backend Engineer | 11 | 4.9% |
| Data Scientist | 10 | 4.5% |
| Forward Deployed Scientist | 8 | 3.6% |
| Machine Learning Engineer | 8 | 3.6% |
| Product Engineer | 8 | 3.6% |
| Product Lead | 7 | 3.1% |
| Product Owner | 7 | 3.1% |
Top companies posting jobs requiring LLM-based systems
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Bjakcareer | 38 |
| CLERA | 16 |
| UiPath | 10 |
| ABOUT YOU SE & Co. KG | 6 |
| Micron | 6 |
| Bjak | 5 |
| Elastic | 5 |
| Algolia | 4 |
| Cisco | 4 |
| Ping Identity | 3 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for LLM-based systems
| Name | Postings | Share |
|---|---|---|
| San Francisco | 11 | 4.9% |
| Singapore | 11 | 4.9% |
| Berlin | 8 | 3.6% |
| Munich | 8 | 3.6% |
| London | 7 | 3.1% |
| New York City | 7 | 3.1% |
| Manchester | 6 | 2.7% |
| Seoul | 6 | 2.7% |
| San Jose | 5 | 2.2% |
Skills commonly paired with LLM-based systems
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning LLM-based systems by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s LLM-based systems postings by all LLM-based systems postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- a9d03832a64a6a2a
- data_as_of
- 2026-10-29
- window_days
- 90