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# Senior Software Engineer (AI Data Engineering)

- **Company:** EvolutionIQ
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $190,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Review, Data Validation, Information Engineering, Cursor (Graphical User Interface Elements), Database Development, Python (Programming Language), Rapid Prototyping Process, Backend, Data Layers, Data Pipelines
- **Published:** June 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e6bc3c0298137c6b

## About the Role

Do you have experience in Technical writing?, * Extensive experience going through the full feature development life cycle: Working with product managers, deciding scope, designing data models and pipeline architectures

 * Proven fluency in using agentic coding tools like Cursor AI and/or Claude
 * 5+ years of engineering experience, an expert in Python and SQL Development
 * Experience designing, building and launching backend architectures that support multi-tenant, multi-user scenarios through pipeline performance and data quality checks
 * Ability to remain agile and move between rapid prototyping and stable production development
 * Ability to write technical design documents, perform code reviews, and maintain state of the art engineering practices
 * You know the critical questions to ask in order to understand a client's business problem and can show the business impact of your technical solutions through data
 * You have crisp written and verbal communication skills and the ability to effectively correspond between technical and non-technical audiences
 * Excellent collaboration skills and are open to giving and receiving critical feedback across teams
 * You have an eye towards analytics and helping to enable data driven decision making

## Description

* Own the Guardrails & Quality: Act as the ultimate reviewer and architect; define the specifications, establish repo-context guardrails, and review AI-accelerated output for hidden security risks, scale bottlenecks, and architectural alignment.
 * Build Scalable Application and Data Layers: Design, build, and maintain our data pipelines and application to service our hundreds of users.
 * Bridging the Data: Partner closely with product, client services, and data science teams to transform raw pipeline outputs into meaning.
 * Drive Greenfield Engineering: Take complete ownership of designing, building, and launching enterprise-grade applications, moving fluidly between rapid prototyping and bulletproof production systems.


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