Python/AI Engineer

Jobtailor; Warszawa; On-site; PLN 180,000 - 240,000; Full time

Job summary

Jobtailor in Warsaw seeks a Python developer to design and build AI agents for business-process automation. You will work with business stakeholders to translate requirements into practical AI-assisted workflows, handling data extraction from Excel files, mapping to common models, and integrating with enterprise systems.

The role emphasizes deterministic processing alongside LLM-based interpretation, with a focus on data quality, validation, and robust error handling.

Qualifications

• 4+ years of commercial Python development experience.
• 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

Responsibilities

• Design and develop Python-based AI agents for business-process automation.
• Work with stakeholders to understand processes, data sources, outputs, and rules.
• Translate business needs into AI-assisted workflows.
• Build agent logic, prompts, validation steps, and supporting Python services.
• Process and normalize structured and semi-structured data.
• Extract information from Excel files with different structures.
• Map heterogeneous Excel data into a common target model.
• Combine deterministic processing with LLM-based interpretation.
• Integrate AI agents with enterprise applications, data sources, and APIs.
• Implement data-quality checks, validation, logging, error handling, and human-review steps.
• Test agents against business scenarios and improve reliability.
• Work within approved AI framework, security rules, and constraints.
• Support deployment, documentation, knowledge transfer, and initial production adoption.
• Communicate progress, risks, and technical limitations clearly to stakeholders

Skills

Python Development

AI/LLM-Powered Applications

Data Processing with Excel

REST API Integration

Data Validation and Exception Handling

Prompt Engineering

Data Mapping

Data Extraction

Data Transformation

Pandas

Openpyxl

Polars

Tools

REST APIs

Azure AI

Azure OpenAI

Microsoft Copilot

FastAPI

Docker

Job 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
• Nice to have: previous customer-facing consulting or business-analysis experience

Core Competencies

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 Development
• AI/LLM-Powered Applications
• Data Processing with Excel
• REST API Integration
• Data Validation and Exception Handling

ATS Optimization Keywords

Hard Skills

• Python
• AI Agent Development
• Prompt Engineering
• Data Normalization
• Data Mapping
• Data Extraction
• Data Transformation
• Pandas
• Openpyxl
• Polars

Soft Skills

• Analytical Skills
• Problem-Solving
• Communication
• Collaboration
• Independence

Industry Keywords

• Business Process Automation
• Enterprise Security
• Data Quality
• Human-in-the-Loop
• RPA Platforms

Tools & Technologies

• REST APIs
• Azure AI
• Azure OpenAI
• Microsoft Copilot
• FastAPI
• Docker