Senior AI Software Engineer (Generative AI & Backend) at StratifyIQ
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Jul 14, 2026
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Jul 20, 2026
What this job asks for AI summary
A senior engineering role focused on building and shipping AI-powered backend systems, with day-to-day work spanning LLM integration, RAG architectures, AI agents, and ML pipelines alongside RESTful APIs and microservices in Python. The position also covers cloud deployment on AWS or Azure using Docker and Kubernetes. It suits engineers with 4+ years of backend and AI/ML experience who are comfortable working across the full lifecycle from data ingestion to production.
Mid level · 4+ years · Remote · Bachelor's required
Advertised as Senior, but the requirements read as Mid.
“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 7,500 people nationally plausibly meet what this posting asks for (software developers). range 4,500–13,600
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.
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 (12)
The title says 'Senior' but the hard gate is only 4+ years of experience, which aligns with a Mid-level engineer on a standard career ladder. Seniority is set to Mid accordingly.
A Bachelor's degree in CS or a related field is explicitly required; a Master's is stated as 'preferred' only, so the minimum is set to Bachelor's.
The database requirements list PostgreSQL, MongoDB, MySQL, Redis, and Snowflake all under Required Qualifications. These are treated as a required capability set; PostgreSQL and MySQL are grouped as alternatives to each other (relational SQL), while MongoDB, Redis, and Snowflake are listed separately as they serve distinct roles.
FastAPI, Flask, Django, and Spring Boot are listed together as alternatives satisfying the same backend framework requirement — one skill with alternatives.
TensorFlow, PyTorch, and Scikit-learn are listed as alternatives satisfying the ML framework requirement.
AWS and Azure are listed as alternatives ('AWS and/or Azure') for the cloud platform requirement.
OpenAI/Azure OpenAI/Hugging Face and LangChain/LlamaIndex/CrewAI appear in the responsibilities narrative and the 'Technical Stack' section rather than in a firm required-qualifications gate; they are marked preferred.
The 'Technical Stack' section lists Java, JavaScript, TypeScript, Node.js, React, Next.js, Angular, HTML, and CSS as stack context rather than gated requirements; all are marked preferred. Frontend skills are explicitly labeled 'Preferred' in the posting.
CI/CD is mentioned in responsibilities and the tech stack but not explicitly gated in the Required Qualifications section; marked preferred.
No compensation range was provided in the posting.
The role is genuinely ambiguous between Software Developers (15-1252) and Data Scientists (15-2051) given the heavy ML/AI emphasis, but the primary framing is backend software engineering with AI integration, so 15-1252 is the primary code.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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