Software Engineer - AI Integration & Data Platforms

API and Service Development: Develop robust APIs, backend services, and integration layers using Python and modern service patterns, with emphasis on reliability, maintainability, authentication, observability, and clear interface design.

MCP Server and Tooling Implementation: Implement MCP tools and server-side capabilities that expose business functions, data access patterns, and automation workflows to AI agents while enforcing security, access controls, and responsible usage guardrails.

DevOps and CI/CD Automation: Build, enhance, and maintain CI/CD pipelines in Azure DevOps or similar platforms, supporting automated builds, testing, code quality checks, artifact management, deployments, and repeatable release processes.

Cloud-Native Engineering: Develop and deploy cloud-ready services using Azure-based patterns, containerized workloads, secure configuration management, logging, monitoring, and scalable runtime architectures.

Collaboration and Documentation: Partner with product owners, software engineers, data engineers, security teams, and business stakeholders to translate requirements into durable technical solutions. Document APIs, MCP tools, deployment patterns, runbooks, and engineering standards for long-term support and reuse.

Job Contribution:

Independently design, develop, and support AI-enabled software solutions, APIs, MCP servers, and cloud-native services using strong DevOps practices. Lead moderate-sized technical efforts, contribute to architecture decisions, improve engineering standards, and deliver secure, scalable solutions that accelerate automation, AI adoption, and business productivity.

What You’ll Need (Required Skills):

Hands-on experience with:

Python development for applications, services, automation, or integration work

Proficiency with general software engineering languages and practices, with the ability to work across modern programming stacks as needed

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 to gather requirements and deliver reliable enterprise software solutions.

Preferred Qualifications:

Experience with FastAPI, FastMCP, SQLAlchemy, containerized deployments, or cloud-hosted Python services

Familiarity with Azure services, managed identity, Key Vault, container platforms (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 developing LLM-powered applications, agents, and workflow orchestration

Contractual name of the role: Senior Specialist Software Engineering

Location: Bratislava, Slovakia

Working hours: EMEA

Salary: The gross monthly base salary for this position ranges from EUR 3,200 to EUR 4,900. The final offer will reflect your skills, experience, and overall qualifications. In addition to a competitive compensation package, we offer a variety of other attractive benefits.


Our Sr Specialist Software Engineering jobs earn between €39,400.00 - €59,200.00 Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.



Weekly Hours:

40



Location:

Bratislava, Slovakia



Salary Range:

€39,400.00 - €59,200.00



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