Software Engineer – AI Integration, Data Platforms

AT&T

. Design, build, and maintain AI-enabled software capabilities, including MCP servers, agent-facing tools, and enterprise application integrations .

Posted 10/14/2026full-timeBratislava • SlovakiaMid-LevelSenior💰 €3,200 - €4,900 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python development for AI-enabled software, API development, and cloud-based services using Azure. Proficient in CI/CD practices, collaboration across technical teams, and maintaining high engineering standards.

Highest-signal resume keywords

Python DevelopmentAPI DevelopmentAzure DevOpsCI/CD PipelinesMCP Server Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAPI DevelopmentFastAPISQLAlchemyContainerized DeploymentsCloud-Hosted Python ServicesSoftware Engineering FundamentalsAutomated TestingVersion ControlSecurity Best Practices

Soft Skills

CollaborationCommunication

Tools & Technologies

AzureDockerKey VaultManaged IdentityGit

Industry Keywords

AI-Enabled SoftwareMCP ToolsAgentic ArchitecturesLLM Application IntegrationWorkflow Automation

Tech Stack

Tools & technologies

AzureCloudDockerPythonVault

About the role

Key responsibilities & impact

Design, build, and maintain AI-enabled software capabilities, including MCP servers, agent-facing tools, and enterprise application integrations
Develop robust APIs, backend services, and integration layers using Python and modern service patterns
Implement MCP tools and server-side capabilities that expose business functions, data access, and automation workflows to AI agents
Build and maintain CI/CD pipelines in Azure DevOps or similar platforms
Develop and deploy cloud-ready services using Azure-based patterns and containerized workloads
Partner with product owners, software engineers, data engineers, security teams, and business stakeholders
Document APIs, MCP tools, deployment patterns, runbooks, and engineering standards
Lead moderate-sized technical efforts, contribute to architecture decisions, improve engineering standards, and deliver secure, scalable solutions

Requirements

What you’ll need

Hands-on experience with Python development for applications, services, automation, or integration work
Proficiency with general software engineering languages and practices, with ability to work across modern programming stacks
API development using modern backend frameworks and secure service design patterns
MCP server or AI tool development, including exposing structured tools, data access, or workflow automation to AI agents
Azure DevOps, Git-based development workflows, CI/CD pipelines, automated testing, and release automation
Strong understanding of software engineering fundamentals, including code quality, modular design, version control, security, logging, monitoring, and documentation best practices
Experience collaborating across engineering, data, AI, security, and business teams
Experience with FastAPI, FastMCP, SQLAlchemy, containerized deployments, or cloud-hosted Python services
Familiarity with Azure services, managed identity, Key Vault, Docker, private networking, or enterprise authentication patterns
Experience with AI-assisted development tools, prompt-aware engineering workflows, agentic architectures, or LLM application integration
Hands-on experience with LangGraph and LangChain for LLM-powered applications, agents, and workflow orchestration

Benefits

Comp & perks

Competitive compensation package
Other attractive benefits
Equal employment opportunity
Reasonable accommodations for qualified individuals with disabilities
Fair chance hiring; background checks begin after an offer is made