Full Stack AI Engineer at Cleartelligence
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Jul 21, 2026
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Jul 23, 2026
What this job asks for AI summary
A full-stack engineering role focused on building and deploying AI-powered applications end-to-end — from React/Next.js frontends and Python backend APIs to LLM-based services using RAG architectures, vector search, and agent frameworks. The work includes data pipeline development, Salesforce and enterprise system integration, and cloud deployment. Suited to engineers with solid production experience across both web development and generative AI.
Senior level · 5+ years
“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
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
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 (9)
Work location is not specified in the posting — no city, state, or remote designation is mentioned. CBSA and remote fields left at defaults.
The posting titles the role 'Full Stack AI Engineer' with no seniority level in the title; advertised seniority is Unspecified. The 5+ years overall and 2+ years GenAI requirements support a Senior classification.
Databricks and Vercel AI SDK are explicitly called out as '(required)' within the Required Qualifications section, making them hard gates despite being somewhat niche.
React, Next.js, JavaScript, and TypeScript are listed together with 'and/or' phrasing in the Required section; all four are captured as separate required skills since they are distinct technologies that may each be used in the stack.
Salesforce is listed under Required Qualifications with the note that 'developer experience not required' — only familiarity/integration experience is gated, but the requirement itself is in the required section and is treated as a hard gate.
Cloud platform (Azure/AWS/GCP) is a hard gate from the Required section; Azure is listed as primary with AWS and GCP as named alternatives.
LangChain, LangGraph, and LlamaIndex appear under Preferred Qualifications; LangChain is the primary with LangGraph and LlamaIndex as alternatives since they serve the same agent-framework purpose.
AI agent architectures and embeddings appear in the Required section as concepts rather than named tools, so they are not emitted as discrete skills; RAG and vector databases are the concrete named technologies captured from that requirement.
Agile is mentioned in Required Qualifications but is a methodology, not a named technology, so it is omitted per extraction rules.
Read the full posting
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