About The Position

NeoReach is seeking a hands-on Senior Data & AI Engineer to strengthen its data infrastructure and build practical AI-powered tools. The role connects business systems, improves data quality, and develops reliable tools that help teams work efficiently and make better decisions. It is an individual-contributor position with ownership from discovery through deployment, working directly with product leadership and collaborating with engineering and business teams. The initial three-month engagement will prioritize a defined data integration and an AI-enabled workflow, with scope and milestones established at kickoff. Weekly hours will be agreed before the engagement begins. Compensation depends on experience, availability, and agreed scope. The contract may be extended or transition to full-time based on results and mutual fit. The engineer will assess and integrate data sources, standardize records, build AI-enabled research and workflow tools, and deliver prototypes and production solutions. The role also includes evaluating quality and cost, maintaining secure and reliable systems, documenting architecture and deployment, and transferring knowledge so internal teams can operate and extend the work. Success milestones are described for 30, 60, and 90 days.

Requirements

  • At least 5 years of experience 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.
  • Ability to take an ambiguous business problem through deployment.
  • Sound judgment about when to use AI, conventional software, or a simpler process.
  • Comfort working with fragmented or inconsistent data.
  • Ability to scope realistically, deliver in short cycles, and communicate clearly.
  • Accountability for implementation, troubleshooting, documentation, and handoff.
  • Applicants are asked to provide two relevant projects outlining their contribution and measurable results, a GitHub profile, portfolio, or technical case study if available, and their earliest start date, weekly availability, and preferred hourly rate.

Nice To Haves

  • Experience in the creator economy, influencer marketing, advertising technology, or SaaS.
  • Experience integrating CRM, financial, marketing, or operational systems.
  • Experience with entity resolution, data modeling, and internal tool development.

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.
  • Use AI coding tools to accelerate development while maintaining quality and reliability.
  • Evaluate accuracy, usefulness, and cost, with appropriate access controls and human review.
  • 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.
  • 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.
  • Complete a focused data assessment, agree on priorities, and demonstrate an initial integration within 30 days.
  • Deliver a usable workflow connected to selected data sources and incorporate user feedback within 60 days.
  • Demonstrate measurable value and complete reliability improvements, documentation, and knowledge transfer within 90 days.

Benefits

  • Direct business impact through building tools that solve real problems and improve daily operations.
  • Work directly with product and engineering leadership, with clear responsibility for delivery.
  • Exposure to the creator economy and technology supporting NeoReach and Influencers.com.
  • Potential to extend the engagement or transition to full-time based on results and mutual fit.
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