Senior Full-Stack & AI Engineer at Inventive Group
Austin, TX
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Jul 25, 2026
Austin, TX
Jul 26, 2026
What this job asks for AI summary
A senior full-stack engineering role at a consultancy, building cloud-based microservices, modern front-end interfaces, and production LLM/agentic workflows across a range of client projects. Work is organized in small cross-functional pods alongside product and design, with an emphasis on fast delivery cycles. The role suits an experienced engineer with at least six years of backend and frontend experience who has hands-on production exposure to AI and LLM integration.
Senior level · 6+ years · Austin-Round Rock-Georgetown, TX
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How this req sits in the market our data
Roughly 85 people in the Austin-Round Rock-Georgetown, TX area plausibly meet what this posting asks for (software developers). range 25–130
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 $137,069 (middle half $106,287–$172,440).
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)
Location is listed as 'Austin, TX area preferred' with hybrid/remote flexibility noted for strong candidates — the role is not fully remote but may accommodate remote arrangements case-by-case.
Backend language requirement names Python as primary with Node/TypeScript or Go as alternatives; FastAPI, Flask, and Django are listed as interchangeable framework options within that gate.
LangChain and LangGraph are listed together as a single platform option alongside OpenAI and Anthropic; vector databases are mentioned generically without a specific product named.
Cloud infrastructure is gated on AWS or Azure (interchangeable); no GCP mention.
Cursor appears in both the responsibilities narrative and the Preferred/Nice-to-Have section — it is treated as preferred given its explicit placement under 'Nice-to-Have'.
MCP (model context protocols), LlamaIndex, CrewAI, and Databricks are all explicitly listed under 'Preferred / Nice-to-Have Skills'.
No compensation range is provided in the posting.
Read the full posting
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