Python/AI Engineer

Intetics

Python/AI Agent Engineer building LLM-powered automation for Intetics, an American custom software and digital-solutions company. Extracting and normalizing Excel data into common models for business operations.

Posted 8/12/2026full-timeWarsaw • 🇵🇱 PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python development for AI agent design and business process automation, with a strong focus on data processing, integration, and validation. Capable of translating business requirements into effective AI-assisted workflows while ensuring compliance with enterprise security and data handling standards.

Highest-signal resume keywords

Python DevelopmentAI/LLM-Powered ApplicationsData Processing with ExcelREST API IntegrationData Validation and Exception Handling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAI Agent DevelopmentPrompt EngineeringData NormalizationData MappingData ExtractionData TransformationPandasOpenpyxlPolars

Soft Skills

Analytical SkillsProblem-SolvingCommunicationCollaborationIndependence

Tools & Technologies

REST APIsAzure AIAzure OpenAIMicrosoft CopilotFastAPIDocker

Industry Keywords

Business Process AutomationEnterprise SecurityData QualityHuman-in-the-LoopRPA Platforms

Tech Stack

Tools & technologies

AzureCloudDockerPandasPythonRPA

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
Nice to have: experience delivering automation with measurable time or cost savings
Nice to have: experience with multi-agent or agent-orchestration frameworks
Nice to have: experience with Azure AI, Azure OpenAI, Microsoft Copilot, or comparable enterprise AI platforms
Nice to have: experience with document understanding, classification, or information-extraction solutions
Nice to have: knowledge of RPA platforms and hybrid RPA/AI workflows
Nice to have: experience with FastAPI, Docker, and cloud-based deployment
Nice to have: familiarity with data-quality frameworks and master-data models
Nice to have: experience with human-in-the-loop review and confidence-based routing
Nice to have: experience working in a large international enterprise with controlled technology and security standards
Nice to have: previous customer-facing consulting or business-analysis experience

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Intetics Website LinkedIn All Job Openings 501 - 1000 employees Founded 1995 💼 Consulting 🏥 Healthcare 📦 Logistics Consulting
Healthcare
Logistics Intetics is an innovative company providing custom software development services, specializing in AI and machine learning solutions. They offer Remote In-Sourcing® to build expert teams for software engineering and data processing projects, along with advanced tools like TETRA™ for software quality assessment. Intetics aims to empower businesses by leveraging high-quality data and integrating modern technologies across various industries, including healthcare, finance, and more. Python/AI Engineer 🔥 1 minute ago 🏢🏡 Warsaw – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Azure Cloud Docker Pandas Python RPA Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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 🎯 Requirements
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
Nice to have: experience delivering automation with measurable time or cost savings
Nice to have: experience with multi-agent or agent-orchestration frameworks
Nice to have: experience with Azure AI, Azure OpenAI, Microsoft Copilot, or comparable enterprise AI platforms
Nice to have: experience with document understanding, classification, or information-extraction solutions
Nice to have: knowledge of RPA platforms and hybrid RPA/AI workflows
Nice to have: experience with FastAPI, Docker, and cloud-based deployment
Nice to have: familiarity with data-quality frameworks and master-data models
Nice to have: experience with human-in-the-loop review and confidence-based routing
Nice to have: experience working in a large international enterprise with controlled technology and security standards
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