1122 | Python/AI Agent Engineer

Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for a  Python/AI Agent Engineer  to join our team and provide exceptional customer support.

Project Description

The candidate will work on the client’s AI agents that automate operational processes in internal business operations. The main goal is to deliver measurable time savings across business functions such as finance operations, document processing, data cleaning, and other shared-service activities.

Initial use cases may include extracting and normalizing similar data from hundreds of differently structured Excel files and mapping them into a common data model for further processing, querying, or analysis.

Responsibilities
- Design and develop Python-based AI agents for business-process automation
- Work directly with business stakeholders to understand operational processes, source data, documents, expected outputs, and business rules
- Translate business needs into practical AI-assisted workflows
- Build agent logic, prompts, validation steps, and supporting Python services
- Process and normalize structured and semi-structured business data
- Extract comparable information from Excel files with different structures, layouts, and templates
- Map heterogeneous Excel data into a common target model for downstream processing or analysis
- Combine deterministic Python processing with LLM-based interpretation where appropriate
- Integrate AI agents with enterprise applications, data sources, and APIs
- Implement data-quality checks, output validation, logging, error handling, and human-review steps
- Test agents against representative business scenarios and improve reliability
- Work within the Client’s approved AI framework, security rules, and technology constraints
- Support deployment, documentation, knowledge transfer, and initial production adoption
- Communicate progress, risks, and technical limitations clearly to business and technical stakeholders