Job Details
- Location: CARY - North Carolina - USA, Overland Park - Kansas - USA
- Experience: 8 - 17 Years
- Job Type: Permanent
- Openings: 1
- Compensation: Compensation range: $ 130,000.00 to 170,000.00 per year
Role Description
Senior Software Developer - AI Agents Document Processing
Role Overview
We are seeking an experienced Senior Software Developer to join the Digital IT organization at Black Veatch The role focuses on designing building and enhancing backend capabilities for LLMbased agents retrievalaugmented generation RAG document and image processing ETL workflows APIs reusable services and data pipelines supporting modern digital products
You will work across application development data engineering and AIenabled automation owning complex backend components and shaping productionready patterns This role is ideal for a backendfocused engineer experienced in agent workflows RAG document ingestion integrations and backend service development while maintaining reliability security maintainability and usability
The DIT Digital Products team enables Black Veatchs people projects and businesses through digital products data analytics and AIenabled solutions Teams operate using agile productoriented practices with a strong focus on quality security reliability usability and maintainability
Key Responsibilities
Design develop and maintain backend services supporting AIenabled products and internal tools
Build and enhance LLMbased agents RAG workflows and toolcalling patterns
Evaluate AI workflow quality retrieval effectiveness prompt behavior and output consistency
Develop document ingestion parsing classification extraction transformation and generation pipelines
Support image processing and multimodal workflows including OCR metadata extraction and content enrichment
Build ETL and data transformation workflows for structured and unstructured content
Develop services using TypeScript Python and related frameworks
Build APIdriven microservices and integrations connecting applications data sources and downstream systems
Deploy services using containerized applications where appropriate
Collaborate with product application data and cloud engineers to define schemas prompts APIs SDKs tools and reusable components
Provide technical guidance through design reviews and implementation patterns
Support deployment processes observability diagnostics monitoring and quality controls
Resolve integration reliability and performance issues
Contribute documentation examples and reusable patterns that accelerate adoption of AI and documentprocessing capabilities
This is a senior individual contributor role for a handson developer who can independently deliver complex backend systems influence technical direction and help teams adopt reliable AI documentprocessing and data capabilities
What Success Looks Like First 612 Months
Teams can easily use AI agent RAG documentprocessing ETL and integration capabilities
Document ingestion storage transformation and workflow processing are resilient and observable
Engineers adopt reusable capabilities and integration patterns with minimal effort
Schemas prompts APIs and data contracts are consistently documented and used
Workflow and integration defects are reduced
You are recognized as a trusted contributor who converts AI and data capabilities into reliable product features while improving maintainability
Minimum Qualifications
Bachelors degree in Computer Science Engineering related field or equivalent experience
5 years of software engineering experience delivering backend services or dataintensive applications in production
Familiarity with AIenabled application patterns including RAG promptdriven workflows LLM integrations or agentbased automation
Strong experience building backend services using TypeScript andor Python
Experience designing APIs and microservices
Ability to solve ambiguous technical problems and deliver maintainable solutions independently
Familiarity with Docker and containerized applications
Experience with cloudbased systems and integrations
Ability to collaborate across application data cloud and integration teams
Familiarity with Gitbased development workflows
Preferred Qualifications
Experience with document management storage or contentprocessing systems
Handson experience with RAG vector search embeddings ETL document parsing metadata extraction or content enrichment
Experience improving AI reliability through evaluations guardrails grounding strategies structured outputs or observability
Exposure to workflow orchestration document lifecycle management or integration architectures
Experience with eventdriven batch or streaming data processing
Familiarity operating microservices in cloud environments
Understanding of distributed application architectures and integration tradeoffsExperience supporting production systems using logging monitoring and diagnostics
Interest in improving developer experience through reusable examples patterns and lightweight tooling
Skills
Mandatory Skills : Industrial AI - LLM, LlM Based Models
