Location: Remote (U.S.)
Employment Type: Part-Time Contract, Initial Three-Month Engagement
Department: Product & Technology
Reports To: Head of Product

About NeoReach

NeoReach is a creator-technology company and influencer marketing leader trusted by Fortune 500 brands, global enterprises, and disruptive startups to deliver campaigns that move culture and drive business outcomes.

We combine agency expertise with proprietary creator-data infrastructure, performance tools, and AI-enabled workflows. Our ecosystem includes Influencers.com, a platform helping creators grow their businesses and unlock new opportunities.

We’re seeking an experienced engineer to strengthen our data infrastructure and build practical AI-powered tools.

Role Overview

The Senior Data & AI Engineer will connect business systems, improve data quality, and develop reliable tools that help teams work efficiently and make better decisions.

This is a hands-on individual contributor role, owning work from discovery through deployment. You will work directly with product leadership and collaborate with engineering and business teams to deliver focused solutions with measurable impact.

The initial engagement will prioritize a defined data integration and an AI-enabled workflow, with scope and milestones established at kickoff.

Key Responsibilities

Data Infrastructure and Integrations

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

AI Tools and Automation

Build tools for research, information retrieval, analysis, and recurring workflows
Connect AI applications to approved internal systems and data
Use AI coding tools to accelerate development while maintaining quality and reliability
Evaluate accuracy, usefulness, and cost, with appropriate access controls and human review

Product Development and Delivery

Translate business requirements into realistic technical milestones
Ship prototypes, incorporate user feedback, and deploy successful tools into production
Communicate progress, tradeoffs, and blockers
Measure adoption, time savings, and operational improvements

Documentation and Knowledge Transfer

Maintain company-owned code, architecture documentation, and deployment instructions
Collaborate with engineering on security, maintenance, and system ownership
Ensure internal teams can operate and extend delivered solutions

Experience and Technical Skills

5+ years in data engineering, backend engineering, or a related field
Demonstrated experience deploying AI applications used by teams or customers
Strong Python and SQL skills
Experience with APIs, authentication, data pipelines, relational databases, and cloud infrastructure
Practical understanding of retrieval-augmented generation, tool calling, structured outputs, and evaluation
Experience with testing, version control, monitoring, and secure credential management

Execution and Ownership

Ability to take an ambiguous business problem through deployment
Sound judgment about when to use AI, conventional software, or a simpler process
Comfortable working with fragmented or inconsistent data
Able to scope realistically, deliver in short cycles, and communicate clearly
Accountable for implementation, troubleshooting, documentation, and handoff

Preferred Experience

Creator economy, influencer marketing, advertising technology, or SaaS
Integrating CRM, financial, marketing, or operational systems
Entity resolution, data modeling, and internal tool development

Application Materials

Two relevant projects outlining your contribution and measurable results
GitHub profile, portfolio, or technical case study, if available
Earliest start date, weekly availability, and preferred hourly rate

Success Criteria

30 days: Complete a focused data assessment, agree on priorities, and demonstrate an initial integration
60 days: Deliver a usable workflow connected to the selected data sources and incorporate user feedback
90 days: Demonstrate measurable value and complete reliability improvements, documentation, and knowledge transfer

Compensation

Paid, part-time contract engagement with compensation based on experience, availability, and agreed scope. Weekly hours will be established before the engagement begins. Initial three-month term, with potential to extend or transition to full-time based on results and mutual fit.

Direct Business Impact

Build tools that solve real problems and improve daily operations.

Leadership Access and Ownership

Work directly with product and engineering leadership, with clear responsibility for delivery.

Creator Economy Exposure

Help shape technology supporting NeoReach and Influencers.com.

Longer-Term Opportunity

Potential to extend the engagement or transition to full-time based on results and mutual fit.

NeoReach

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