Full-Stack AI Engineer Needed – Financial Data Extraction & Analysis Tool (MCA)

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

Full Time

WAGE / SALARY

TBD

HOURS PER WEEK

TBD

DATE UPDATED

Jun 13, 2026

JOB OVERVIEW

We are seeking an experienced Full-Stack AI Engineer with AI/ML experience to build a custom application that can extract, organize, and analyze data from bank statements, financial applications, PDFs, scanned documents, and Excel files.

Project Overview

The tool should be able to:

Extract data from bank statements, applications, PDFs, scanned documents, and spreadsheets
Automatically categorize transactions (deposits, withdrawals, transfers, funding, etc.)
Identify and summarize key financial information
Generate clean, structured reports and exports
Support AI-powered search and analysis of financial data
Preferred Skills
AI/ML and data processing experience
OCR and document extraction (PDFs and scanned files)
Python, APIs, databases, and automation
Experience with financial or banking data
Full-stack development experience (backend, frontend, and database)
Nice to Have
Experience with OpenAI, Claude, or other AI models
Report automation and workflow automation
Secure handling of sensitive financial data
Integration with accounting or third-party platforms
To Apply

Please send:

A brief introduction
Relevant experience and similar projects
Portfolio or work samples (if available)
Your expected hourly rate or project-based fee

We are looking for someone who can help design, build, and potentially expand this platform over time.

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0009
Controller Execution Time ( Jobseekers / Job )  0.0418
Total Execution Time  0.0437
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,503,104 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Full-Stack-AI-Engineer-Needed-Financial-Data-Extraction-Analysis-Tool-MCA-1661132
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0349 seconds)  (Hide)
0.0003   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0003   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1661132
 LIMIT 1 
0.0004   SELECT *
FROM `employers`
WHERE `employer_id` = 794156
 LIMIT 1 
0.0288   SELECT COUNT(DISTINCT t.id) as cnt
FROM 
`t_thread` `t`
INNER JOIN `t_message` `mON `t`.`id` = `m`.`thread_id`
INNER JOIN `t_message_employer` `eON `m`.`id` = `e`.`message_id`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1661132
AND `misc`.`idIS NULL 
0.0005   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-06-19',ej.date_added) duration_daysDATEDIFF('2026-06-19',e.rebill_date) duration_rebillej.*, e.deactivate FROM employers eemployer_jobs ej WHERE e.employer_id ej.employer_id AND
                                   ((
e.user_level >= '500' AND ej.date_added <= e.rebill_date)
                                   OR 
e.employer_id '' OR (ej.date_approved <> '2000-01-01' and DATEDIFF('2026-06-19',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1661132' 
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1661132 
0.0007   UPDATE employer_jobs SET hit_counts '***Jun-03-2026=292***Jun-04-2026=92***Jun-05-2026=90***Jun-06-2026=24***Jun-07-2026=32***Jun-08-2026=20***Jun-09-2026=19***Jun-10-2026=1***Jun-11-2026=14***Jun-12-2026=14***Jun-13-2026=651***Jun-19-2026=1' WHERE job_id'1661132'  
0.0008   UPDATE employer_jobs SET monthly_hits '***Jun-2026=1249' WHERE job_id'1661132'  
0.0008   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1661132' AND status LIKE 'sent%' ORDER BY id DESC  
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1661132 
0.0009   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '794156'
AND `date_added` >= '2022-06-08' 
0.0003   select from teasers 
0.0003   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)