Senior Software Developer AI Agents Document Processing
Listed on 2026-08-27
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Software Development
Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software, Python
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 DevelopmentDesign 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 ProcessingBuild 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 IntegrationDevelop 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 LeadershipCollaborate 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 ReliabilityImplement 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 MeasuresWithin 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 QualificationsBachelors 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 QualificationsExperience 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…
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