Principal AI Engineer (10x Engineer)
Lumenci · India
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Jul 14, 2026
India
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor role spanning AI, backend, frontend, and cloud infrastructure, focused on building production LLM applications and intelligent workflows for a patent intelligence platform. The work covers retrieval and agent-based systems, scalable APIs and data pipelines, and web interfaces for document analysis and search, with an expectation of technical leadership and mentoring alongside hands-on delivery.
Senior level · 10+ years · Remote
Advertised as Principal, but the requirements read as Senior.
“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 4,900 people nationally plausibly meet what this posting asks for (software developers). range 2,950–7,300
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 $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 (6)
The title says 'Principal' but the actual requirements — 10+ years of experience, strong individual-contributor scope, and no explicit org-wide technical authority — are consistent with a Senior engineer. The role does include mentoring and architecture leadership, but these are typical Senior responsibilities at a startup, not evidence of a true Principal/Distinguished/Fellow-level position. Seniority is set to Senior accordingly.
No compensation range is stated in the posting.
All stack technologies (Python, FastAPI, TypeScript, React, Next.js, PostgreSQL, Redis, vector databases, Elasticsearch, LangChain, Azure/AWS/GCP, Docker, Kubernetes, GitHub Actions, Terraform, LLM platforms) appear only under the 'Technical Stack' narrative section, not in the Minimum Qualifications. The posting explicitly notes 'equivalent technologies and experience are welcome,' so all stack items are treated as preferred context rather than hard gates.
LLMs (3+ years), RAG, and prompt engineering are explicitly called out in the Minimum Qualifications section and are treated as hard requirements.
Preferred qualifications (patent/legal domain experience, large-scale document/search platforms, AI copilots/agents, startup experience) are not captured as skills because they name no specific technology or tool.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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