Senior AI Developer

October 14, 2026

Hybrid

Senior

Warszawa

Indeed

Description

A software delivery company is looking for a Senior AI Developer to design and develop Agentic AI solutions that improve the software production process (SDLC). The role covers building and integrating AI agents, implementing RAG solutions on Azure AI Foundry and integrating AI models with applications, APIs and DevOps processes. The engagement runs on a B2B basis with a hybrid model of one day per week in the Warsaw office. The project budget is up to 145 PLN/h plus VAT depending on experience and scope.

Responsibilities

Designing and developing solutions using Agentic AI to improve the software production process (SDLC)
Building and integrating AI agents supporting requirements analysis, planning, development, testing and technical quality assurance
Using Azure AI Foundry and AI services available in the Microsoft Azure ecosystem
Designing and implementing RAG solutions, including contextual search, embeddings and integration with knowledge bases
Integrating AI models and agents with applications, APIs, developer tools and DevOps processes
Designing automations supporting CI/CD processes, code review, automated tests and code quality control
Preparing Proof of Concept prototypes and validating technological hypotheses
Analyzing the potential of applying AI at individual SDLC stages and identifying areas with the highest automation potential
Evaluating the effectiveness of developed solutions and recommending further development directions
Collaborating with development teams, architects and experts responsible for SDLC processes
Participating in R&D initiatives related to the practical use of AI in IT processes

Requirements

Very good knowledge of Azure AI Foundry and AI services available in the Microsoft Azure ecosystem
Practical experience in designing and building solutions based on AI agents (Agentic AI)
Experience in designing and implementing RAG solutions covering contextual search, vectorization, embeddings and integration with knowledge bases and documents
Ability to integrate AI models with applications, APIs, developer tools and DevOps processes
Development experience, preferably in Java or related technologies, allowing comfortable navigation of the software production process
Knowledge of SDLC, CI/CD, code review, automated testing and software quality assurance practices
Ability to quickly prototype, validate hypotheses and develop solutions in an experimental R&D approach
Independence in analyzing problems and proposing technical solutions
Ability to collaborate with development teams, architects and experts responsible for SDLC processes
Ability to translate AI capabilities into concrete improvements of development processes
Focus on creating practical solutions, prototypes and automations that can be implemented in the organization
Knowledge of Azure DevOps, GitHub or GitLab
Experience with SonarQube and code quality analysis tools
Knowledge of test automation tools and solutions supporting development and delivery processes