Senior Data & AI Engineer
New
N
NeoReachCreator technology
Remote (U.S.)ContractSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years in data engineering, backend engineering, or a related field
- Required Skills
- PythonSQLRESTful APIs
Requirements
- Have 5+ years of experience in data engineering, backend engineering, or a related field.
- Demonstrate experience deploying AI applications used by teams or customers.
- Have strong Python and SQL skills.
- Have experience with APIs, authentication, data pipelines, relational databases, and cloud infrastructure.
- Understand retrieval-augmented generation, tool calling, structured outputs, and evaluation.
- Have experience with testing, version control, monitoring, and secure credential management.
- Be able to take an ambiguous business problem through deployment and judge when to use AI, conventional software, or a simpler process.
- Be comfortable working with fragmented or inconsistent data and scoping work realistically for short delivery cycles.
- Be accountable for implementation, troubleshooting, documentation, and handoff.
- Provide two relevant projects outlining your contribution and measurable results; a GitHub profile, portfolio, or technical case study is requested if available.
- Be available for a part-time contract engagement with weekly hours established before the engagement begins and an initial three-month term.
Responsibilities
- Assess existing data sources and workflows to identify gaps and opportunities.
- Build integrations connecting APIs, databases, and business applications.
- Standardize records, resolve duplicates, and establish consistent data definitions.
- Implement validation, monitoring, and error handling.
- Build tools for research, information retrieval, analysis, and recurring workflows.
- Connect AI applications to approved internal systems and data, and evaluate accuracy, usefulness, and cost.
- Translate business requirements into technical milestones, ship prototypes, incorporate user feedback, and deploy successful tools.
- Measure adoption, time savings, and operational improvements.
- Maintain company-owned code and documentation, and support security, maintenance, and knowledge transfer.
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