Infomineo · Casablanca, NM

Salary
Posted
Jul 7, 2026
Location
Casablanca, NM
Last confirmed open
Jul 20, 2026

What this job asks for AI summary

A senior individual-contributor role focused on building and deploying AI-powered data products and analytical applications for consulting, enterprise, and government clients. Day-to-day work spans designing RAG pipelines, integrating LLM APIs, developing backend services in Python/FastAPI with some frontend involvement, and managing cloud deployment and MLOps practices. The role also carries responsibility for mentoring junior engineers and setting technical standards across AI and data science work.

Senior level · 4+ years · National

Must have (14)
PythonLLMs or GeminiRAGLangChainMCPFastAPIReact, Next.js or VueRESTDockerGCP, AWS or AzureCI/CDGitHub ActionsMLOpsvector databases
Nice to have (3)
LangGraphTerraform or PulumiGKE

“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

What gives you an edge
MCP2%LangChain6%vector databases6%RAG8%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python88%Docker53%CI/CD45%React40%GitHub Actions40%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $122,874 (middle half $87,544–$162,374).

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)

This role is based across Infomineo's offices in Cairo, Casablanca, Mexico City, Dubai, and Barcelona — all non-US locations. No US metro or remote-US arrangement is indicated, so the US-based flag is set to false and no CBSA is assigned.

The role is a genuine hybrid between Data Science/AI (primary framing: ML, LLMs, RAG, generative AI) and full-stack Software Development (FastAPI backend, React/Next.js/Vue frontend, cloud deployment). Data Science was chosen as the primary SOC given the explicit framing of the role as 'primarily data science and AI-focused'; Software Developers is the close runner-up.

The degree requirement lists 'Bachelor's or Master's degree … or a related field' but does not explicitly reject candidates without a degree or state 'required'; it reads as a strong preference rather than a hard gate, so the degree requirement is set to None.

LangGraph, Terraform/Pulumi, and GKE appear only under the 'Preferred Skills' section and are marked accordingly.

MCP (Model Context Protocol) is listed in the required qualifications with 'Proven experience' language, so it is treated as a hard gate despite being a relatively novel/niche specification.

No compensation figures are provided in the posting.

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.

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