AI Full stack Developer

LTM; Kraków; Hybrid; PLN 167,400 - 212,040; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

LTM in Kraków is seeking an AI Full Stack Engineer to design, develop and maintain end-to-end AI-powered applications across frontend, backend and MLOps layers.

You will build RESTful APIs, microservices and LLM-enabled workflows, create data pipelines, and optimize performance, security and observability while collaborating with product, UX and risk teams. Hybrid work 2-3 days a week.

Qualifications

• Strong Full Stack software engineering experience.
• Expertise in Python, Java or Node.js development.
• Experience building RESTful APIs GraphQL services and microservices.
• Strong frontend development skills using React and TypeScript.
• Hands-on experience with LLMs, embeddings and RAG.
• Experience with vector databases, search platforms, document stores or graph databases.
• Strong SQL and data engineering skills.
• Experience with Docker, Kubernetes and cloud platforms such as AWS, Azure or GCP.
• Knowledge of CI/CD, Infrastructure as Code and DevOps practices.
• Understanding of secure coding practices and OWASP.

Responsibilities

• Design, develop and maintain end-to-end AI-powered applications across frontend, backend and AI/ML layers.
• Build and operate LLM-enabled solutions using prompting, RAG, tool function calling, evaluation frameworks and guardrails.
• Develop APIs and microservices for integrating AI models with enterprise platforms and data sources.
• Create and manage data pipelines for data ingestion, transformation, indexing and retrieval.
• Build responsive user interfaces for AI-powered assistants, chat applications, dashboards and workflow solutions.
• Implement MLOps and LLMOps practices including CI/CD, model lifecycle management, monitoring and quality validation.
• Develop testing strategies covering unit, integration, performance testing and AI evaluation.
• Optimize AI applications for performance, scalability, cost efficiency, reliability and observability.
• Ensure security, privacy, compliance and governance requirements are integrated into solution design.
• Collaborate with product, UX, data engineering and risk teams to deliver business outcomes.
• Develop reusable AI components, best practices and platform accelerators.

Skills

Python

Java

Node.js

React

TypeScript

LLMs

RAG

Docker

Kubernetes

Cloud platforms

Tools

GraphQL

Microservices architectures

Job description

AI Full Stack Engineer

Krakow, Poland (Hybrid 2-3 days in a week)

6 Months contract with possible extension (Sub-con or B2B contract) Experience Strong software engineering experience with Full Stack and AI ML development.

Role Description

Experience Strong software engineering experience with Full Stack and AI ML development.

Responsibilities

• Design develop and maintain endtoend AIpowered applications across frontend backend and AIML layers
• Build and operate LLMenabled solutions using prompting RAG toolfunction calling evaluation frameworks and guardrails
• Develop APIs and microservices for integrating AI models with enterprise platforms and data sources
• Create and manage data pipelines for data ingestion transformation indexing and retrieval
• Build responsive user interfaces for AIpowered assistants chat applications dashboards and workflow solutions
• Implement MLOps and LLMOps practices including CICD model lifecycle management monitoring and quality validation
• Develop testing strategies covering unit testing integration testing performance testing and AI evaluation
• Optimize AI applications for performance scalability cost efficiency reliability and observability
• Ensure security privacy compliance and governance requirements are integrated into solution design
• Collaborate with product UX data engineering and risk teams to deliver business outcomes
• Develop reusable AI components best practices and platform accelerators

To Be Successful In This Role You Should Have

• Strong Full Stack software engineering experience
• Expertise in Python Java or Nodejs development
• Experience building RESTful APIs GraphQL services and Microservices architectures
• Strong frontend development skills using React and TypeScript
• Handson experience with Large Language Models LLMs Embeddings and RetrievalAugmented Generation RAG
• Experience with vector databases search platforms document stores or graph databases
• Strong SQL and data engineering skills
• Experience with Docker Kubernetes and cloud platforms such as AWS Azure or GCP
• Knowledge of CICD Infrastructure as Code and DevOps practicesExperience with monitoring logging and observability solutions
• Understanding of secure coding practices OWASP principles authentication and authorization
• Strong problemsolving collaboration and stakeholder management skills
• Experience with Agentic AI orchestration frameworks and tool integrations is desirable
• Knowledge of Responsible AI model governance and explainability concepts is a plus
• Experience working in regulated enterprise environments is preferred