Senior Fullstack Engineer at Zartis
LATAM
—
Jun 29, 2026
LATAM
Jul 21, 2026
What this job asks for AI summary
A senior backend engineering role embedded in a client's early-stage AI initiative within the logistics industry. The work centres on designing and building backend services in TypeScript and NestJS, integrating AI capabilities into product workflows, and contributing to architectural decisions and emerging technical standards. It suits an engineer with hands-on production experience who can operate independently in ambiguous environments and help shape how an organisation adopts AI-driven development practices.
Senior level · Remote
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 8,900 people nationally plausibly meet what this posting asks for (software developers). range 5,300–13,300
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $135,980 (middle half $105,210–$171,980).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role is based at Zartis, a company with engineering hubs across EMEA and LATAM. No US location is mentioned; the US-based flag is set to false accordingly, and no CBSA is applicable.
AWS is listed in the requirements section with the qualifier 'or a comparable platform' — it is a hard gate on cloud infrastructure capability; AWS is the named primary option with common alternatives captured.
AI tooling experience (working with models, integrating prompts, building AI-powered features) is explicitly required in the 'What you will bring' section and distinguished from merely using consumer AI products. This is captured as two skills: LLMs (model integration) and prompt engineering.
Nice-to-have items — experience helping organisations adopt AI-assisted/spec-driven development, familiarity with emerging AI frameworks and orchestration patterns, and early-stage initiative experience — are listed under an explicit 'Nice to have' heading and are omitted as they name no specific technology or tool.
No compensation figures are stated in the posting.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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