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Senior Software Developer AI Agents Document Processing

Job in Overland Park, Johnson County, Kansas, 66213, USA
Listing for: LTM
Full Time position
Listed on 2026-08-27
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software, Python
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Senior Software Developer AI Agents Document Processing

Role Overview

Client is seeking a Senior Software Developer to design develop and enhance backend platforms supporting AIenabled digital products The role focuses on LLMbased agents Retrieval Augmented Generation RAG document and image processing ETL pipelines APIs microservices reusable services and enterprise integrations

This position is ideal for a handson backend engineer who can work across software development data engineering AI automation and cloud technologies to deliver scalable secure maintainable and production ready solutions

Key Responsibilities AI Agent Development

Design build and maintain backend services for AIenabled applications

Develop LLMbased agents RAG workflows toolcalling frameworks and automation pipelines

Improve prompt performance retrieval quality grounding strategies and output accuracy

Implement testing monitoring guardrails and evaluation mechanisms for AI solutions

Document Image Processing

Build document ingestion classification extraction transformation and generation pipelines

Develop image processing solutions using OCR metadata extraction and content enrichment

Support processing of structured semi-structured and unstructured data

Enable document lifecycle automation and workflow orchestration

Backend Engineering Integration

Develop backend applications using Python Type Script and modern frameworks

Build APIdriven microservices connecting AI services applications and enterprise data sources

Design and maintain ETL pipelines and data transformation workflows

Develop reusable services APIs SDKs schemas and data contracts

Deploy and manage containerized applications using Docker and cloud native technologies

Technical Leadership

Collaborate with product application data and cloud engineering teams

Provide technical guidance through design reviews and architecture discussions

Create reusable implementation patterns templates and documentation

Support application teams in adopting AI document processing and integration capabilities

Operations Reliability

Implement monitoring logging diagnostics and observability for backend services and pipelines

Troubleshoot performance scalability reliability and integration issues

Drive continuous improvement in solution quality operational stability and developer productivity

Success Measures

Within 612 months

AI agents RAG capabilities document processing services ETL workflows and integrations are successfully adopted across applications

Document ingestion and transformation workflows are scalable resilient and observable

Reusable APIs services and integration patterns accelerate product delivery

Prompt frameworks schemas and data contracts are standardized and consistently used

Integration defects and workflow bottlenecks are significantly reduced

Recognized as a trusted technical contributor driving solution quality and innovation

Required Qualifications

Bachelors degree in Computer Science Engineering Information Technology or related field or equivalent experience

5 years of software engineering experience delivering enterprisegrade backend systems

Strong proficiency in Python andor Type Script

Experience developing APIs microservices and distributed systems

Familiarity with AI application architectures including LLMs RAG promptdriven workflows and agent based automation

Experience with cloud platforms enterprise integrations and Dockerbased deployments

Strong analytical problem solving and communication skills

Experience with Gitbased development and Agile methodologies

Preferred Qualifications

Experience with document management and contentprocessing platforms

Knowledge of vector databases semantic search embeddings metadata extraction content enrichment and ETL frameworks

Experience improving AI reliability through evaluation frameworks guardrails grounding techniques structured outputs and observability

Exposure to workflow orchestration document lifecycle management and event driven architectures

Experience deploying and operating cloud native microservices

Understanding of distributed systems and enterprise integration patterns

Experience supporting production applications through monitoring diagnostics and…

Position Requirements
10+ Years work experience
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