Specialist - Data Sciences- Python AI Engineer

LTM; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Job summary

LTM in Poland is seeking an experienced Python AI Engineer with 7 years of hands-on experience to design, develop and deploy scalable AI-powered applications and enterprise solutions.

The role requires strong expertise in Python, AI/ML, Generative AI, LLMs, and modern software engineering practices. You will build AI-powered systems, agents, and automation that drive business value in a hybrid work setup.

Qualifications

• 7+ years hands-on experience in Python AI engineering.
• Strong expertise in design, development and deployment of scalable AI-powered applications.
• Experience with Generative AI, LLMs and cloud-native technologies.

Responsibilities

• Design, develop and maintain scalable Python-based applications and AI solutions.
• Build and deploy ML, DL and Generative AI models for enterprise use cases.
• Develop AI-powered apps using LLMs, RAG frameworks, AI Agents and conversational platforms.

Skills

Python development

LLMs

Generative AI

REST APIs

Web frameworks

Docker

Kubernetes

MLOps

Cloud platforms

LangChain

Education

Bachelors/Masters in CS/AI/DS

Tools

FastAPI

TensorFlow

PyTorch

Pinecone

Chroma

FAISS

Terraform

Job description

Role Description

Python AI Engineer 7 Years Experience

Job Title- Senior Python AI Engineer Python Generative AI Engineer

Experience-7 Years

Location- Poland Hybrid

Job Summary

We are seeking an experienced Python AI Engineer with 7 years of handson experience in designing developing and deploying scalable AIpowered applications and enterprise solutions The ideal candidate should possess strong expertise in Python development Machine Learning Generative AI Large Language Models LLMs cloudnative technologies and modern software engineering practices The role involves building intelligent applications AI agents automation solutions and productiongrade AI systems that drive business value

Key Responsibilities

• 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


• Strong expertise in Python development


• Experience with FastAPI Flask or Django


• Strong understanding of OOP Design Patterns Data Structures and Algorithms


• Experience in REST APIs and Microservices architecture


• AI Machine Learning


• 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


• RAG Architecture


• AI Agents Agentic AI


• Vector Databases Pinecone Chroma Weaviate FAISS


• LangChain LangGraph LlamaIndex


• Finetuning and Model Evaluation


• Cloud DevOps


• AWS Azure GCP


• Docker Kubernetes


• CICD Pipelines


• Infrastructure as Code Terraform preferred


• Data Engineering


• SQL NoSQL Databases


• Data Processing using Pandas NumPy PySpark


• ETLELT Pipeline Development


• Data Warehousing Concepts

Preferred Skills

• Experience with MLOps and LLMOps platforms


• Experience building AI copilots virtual assistants or enterprise chatbots


• Knowledge of AI safety governance and Responsible AI practices


• Experience with Kafka Airflow or distributed data processing systems


• Exposure to AI observability monitoring and model governance platforms

Educational Qualifications

• Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science Information Technology or related field

Nice to Have

• AIML Certifications from AWS Azure Google Cloud or OpenAI ecosystems


• Handson experience with Agentic AI and multiagent systems


• Experience in Banking Financial Services Cybersecurity or Enterprise Automation domains

Keywords for Sourcing

Python Generative AI LLM GPT LangChain LangGraph RAG AI Agents FastAPI TensorFlow PyTorch ScikitLearn Vector Database Pinecone ChromaDB Azure OpenAI AWS Bedrock MLOps LLMOps Kubernetes Docker Cloud Native NLP Machine Learning Deep Learning