AI Engineer — Data & Reporting Automation (Project Based)
About this role
This is a remote position.
AI Engineer — Data & Reporting Automation (Project Based)
Covers: AI Accounts Reporting + AI Internal Report
Company:TeamFicient
Location:Remote
Employment Type:Contract — Project-Based, Fixed-Scope
Rate:Proposed by candidate via RFQ (rate, timeline, and estimated hours)
Work Schedule:
Self-directed, solo execution of the full project scope
IT agent touchpoints and management check-ins only as needed to review progress
Timeline and hours are proposed by the candidate in their RFQ
Why Join Us?
At TeamFicient, our team spans multiple countries and regions, and we stay connected by operating within EST, CST, and PST time zones.
Work Without Borders: Collaborate daily with experts from worldwide and gain international exposure.
Built for Remote: Join a fully remote culture designed for autonomy, flexibility, and trust.
Diverse Perspectives: Be part of a multicultural team where different backgrounds are our greatest strength.
Grow Globally: Expand your career on a global stage, learning how business works across different cultures and continents.
About the Role
TeamFicient is looking for an AI Engineer to build automated, AI-assisted reporting environments — covering account-level and internal/management reporting — that consolidate data, validate KPIs, and produce recurring dashboards with minimal manual work. This is a two-project track, and a strong candidate can run both. This is a solo, fixed-scope engagement: you own execution end to end, with IT touchpoints and management check-ins only as needed. You'll submit your own RFQ (proposed approach, timeline, hours, and cost) as part of the process.
Core Responsibilities
Reporting & Data Integration
Integrate and consolidate data across multiple account/data sources into a unified reporting engine
Gather requirements and build dashboards for account-level and internal/management reporting
Validate KPI calculations against source data and build exception/error handling for bad data
Automation & AI
Automate data refreshes, recurring report production, and delivery scheduling
Generate AI-assisted summaries and management insights where appropriate
Documentation
Document data sources, refresh logic, dependencies, and maintenance procedures
Candidate Qualifications
Must-Haves
Strong hands-on experience with Google Sheets, Looker Studio, and Google Workspace automation
Experience integrating an AI/LLM service into a reporting or summarization workflow
Proven ability to design, validate, and document a KPI/reporting pipeline independently
Comfortable separating one-time build costs from recurring/usage-based costs (APIs, hosting)
Good to Haves
Experience with Asana or similar project-data integrations
Background in BI/dashboard work across multiple accounts or business units
Application Requirements
To apply for this project, please be prepared to submit:
A portfolio of relevant, comparable work
An RFQ (Request for Quotation) covering:
What you propose to do
How you would do it
What's included (and what's excluded)
Estimated timeline and hours
Total cost, plus any additional/recurring costs
What you'll need from TeamFicient to execute
Risks, limitations, and assumptions
Willingness to sign an NDA and Project Agreement before receiving full project details and credentials
Willingness to undergo a background check
Work Location: Remote
Originally posted on Himalayas
