Intetics→
1122 | Python/AI Agent Engineer at Intetics in Poland, PL
Skills
Job Description
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
4+ years of commercial Python development experience
Practical experience building AI/LLM-powered applications or AI agents
Experience with prompt engineering and structured LLM outputs
Experience integrating LLMs via APIs or enterprise AI platforms
Strong experience processing data from Excel files using Python
Experience with pandas, openpyxl, Polars, or similar tools
Ability to analyze and normalize data from files with inconsistent schemas, column names, layouts, and data formats
Experience designing data extraction, transformation, mapping, and validation pipelines
Understanding of when to use deterministic rules, traditional data processing, or LLM-based interpretation
Experience with REST APIs and enterprise-system integrations
Ability to implement validation, exception handling, logging, and traceability
Understanding of enterprise security, access control, and sensitive-data handling
Ability to communicate with business users, clarify requirements, and convert operational processes into technical solutions
Strong analytical and problem-solving skills
Ability to work independently and collaborate in English with international stakeholders
Availability for occasional on-site meetings or workshops if required
Nice to have:
- Experience automating finance, claims, customs, logistics, documentation, or other shared-service processes
- Experience delivering automation with measurable time or cost savings
- Experience with multi-agent or agent-orchestration frameworks
- Experience with Azure AI, Azure OpenAI, Microsoft Copilot, or comparable enterprise AI platforms
- Experience with document understanding, classification, or information-extraction solutions
- Knowledge of RPA platforms and hybrid RPA/AI workflows
- Experience with FastAPI, Docker, and cloud-based deployment
- Familiarity with data-quality frameworks and master-data models
- Experience with human-in-the-loop review and confidence-based routing
- Experience working in a large international enterprise with controlled technology and security standards
- Previous customer-facing consulting or business-analysis experience