Python AI Engineer

Thrive IT Systems; Warszawa; On-site; PLN 180,000 - 250,000; Full time

Job summary

Thrive IT Systems in Warszawa seeks a skilled AI Software Engineer to design, develop and maintain scalable Python-based applications and AI solutions. You will build and deploy ML/DL models for enterprise use cases and create RESTful APIs for AI integration.

You will work with LLMs, RAG frameworks and AI Agents, implementing MLOps pipelines for training, deployment, monitoring and governance while collaborating closely with business stakeholders to translate requirements into AI-driven

Qualifications

• Design, develop and maintain scalable Python-based applications.
• Experience with FastAPI, Flask or Django.
• Strong OO design patterns, data structures and algorithms.
• Experience in REST APIs and Microservices architecture.
• Hands-on with TensorFlow, PyTorch and Scikit-Learn.
• Experience with NLP, computer vision, predictive analytics or recommender systems.
• Experience with LLMs such as GPT, Llama, Claude, Gemini or similar.
• Generative AI, prompt engineering and AI agents.
• IaC with Terraform; SQL/NoSQL and data warehousing concepts.

Responsibilities

• Design, develop and maintain scalable Python-based applications and AI solutions.
• Build and deploy ML/DL models for enterprise use cases.
• Develop AI-powered applications using LLMs, RAG frameworks and AI platforms.
• Create RESTful APIs and microservices for AI model integration.
• Finetune, evaluate and optimize AI/ML models for performance and scalability.
• Implement RAG, vector databases, embeddings and AI search solutions.
• Collaborate with stakeholders to translate requirements into AI-driven solutions.
• Design MLOps/LLMOps pipelines for training, deployment, monitoring and governance.
• Integrate AI solutions with enterprise apps, cloud platforms and data sources.
• Ensure compliance with Responsible AI, security, privacy and governance standards.
• Participate in code reviews, architecture discussions and technical design sessions.
• Stay current with emerging AI technologies and industry best practices.

Skills

Python development

FastAPI

Flask

Django

OOP

Design Patterns

Data Structures

Algorithms

REST APIs

Microservices

ML Frameworks

NLP

Computer Vision

Predictive Analytics

Recommendation Systems

LLMs

Generative AI

Prompt Engineering

AI Agents

Terraform

SQL

NoSQL

Data Warehousing

Tools

TensorFlow

PyTorch

Scikit-Learn

Job description

• Design develop and maintain scalable Pythonbased applications and AI solutions
• Build and deploy Machine Learning Deep Learning and Generative AI models for enterprise use cases
• Develop AIpowered applications using LLMs RAG frameworks AI Agents and conversational AI platforms
• Create RESTful APIs and microservices for AI model integration and deployment
• Finetune evaluate and optimize AIML models for performance accuracy and scalability
• Implement RetrievalAugmented Generation RAG Vector Databases Embeddings and AI Search solutions
• Collaborate with business stakeholders to understand requirements and translate them into AIdriven solutions
• Design and implement MLOpsLLMOps pipelines for model training deployment monitoring and governance
• Integrate AI solutions with enterprise applications cloud platforms and data sources
• Ensure compliance with Responsible AI security privacy and governance standards
• Participate in code reviews architecture discussions and technical design sessions
• Stay current with emerging AI technologies frameworks and industry best practices

Required Skills Experience

• Programming Development
• Experience with FastAPI Flask or Django
• Strong understanding of OOP Design Patterns Data Structures and Algorithms
• Experience in REST APIs and Microservices architecture
• Experience with Machine Learning and Deep Learning frameworks

Handson experience with

• TensorFlow
• PyTorch
• ScikitLearn
• Experience in NLP Computer Vision Predictive Analytics or Recommendation Systems
• Experience with LLMs such as GPT Llama Claude Gemini or similar
• Generative AI
• Prompt Engineering
• AI Agents Agentic AI
• Finetuning and Model Evaluation
• Infrastructure as Code Terraform preferred
• SQL NoSQL Databases
• Data Warehousing Concepts