AT&T yra telekomunikacijų ir technologijų bendrovė, teikianti belaidžio ryšio, interneto ir šviesolaidines paslaugas vartotojams, įmonėms ir viešojo sektoriaus organizacijoms. Jos veikla apima tinklų inovacijas, įskaitant bendradarbiavimą, orientuotą į Open RAN, taip pat „FirstNet“ viešojo saugumo ryšį, pasirengimą atsigauti po nelaimių, vartotojų įrenginius ir duomenų privatumą. Bendrovė taip pat daug dėmesio skiria tvarumui, kultūriniam įtraukumui, įmonių atsakomybei ir viešajai politikai. Turėdama didelę darbuotojų komandą ir ilgą veiklos istoriją, AT&T siūlo karjeros galimybių ryšių infrastruktūros, skaitmeninių technologijų, klientų aptarnavimo ir atsakingų inovacijų srityse.
Senior Software Engineer, AI Integration and Data Platforms
Build AI integrations, MCP servers, APIs, and cloud-native services at AT&T. Use Python and Azure DevOps to support secure automation and enterprise data connectivity.
Aprašymas
- Create and maintain AI-enabled software, including MCP servers, agent tools, and enterprise application integrations.
- Build APIs, backend services, and integration layers with Python and modern service patterns.
- Develop MCP tools and server-side features that give AI agents access to business functions, data, and automated workflows.
- Create and maintain CI/CD pipelines with Azure DevOps or similar platforms.
- Deploy cloud-ready services using Azure patterns and containerized workloads.
- Work with product owners, engineering teams, security specialists, and business stakeholders.
- Document APIs, MCP tools, deployment approaches, runbooks, and engineering standards.
- Lead mid-sized technical initiatives, shape architecture decisions, strengthen engineering standards, and deliver secure, scalable solutions.
Reikalavimai
- Practical Python development experience across applications, services, automation, or integrations.
- Proficiency in software engineering languages and practices, with the ability to work across modern programming stacks.
- Experience building APIs with modern backend frameworks and secure service design patterns.
- Experience developing MCP servers or AI tools, including structured tools, data access, or workflow automation for AI agents.
- Experience with Azure DevOps, Git-based workflows, CI/CD pipelines, automated testing, and release automation.
- Strong software engineering fundamentals, including code quality, modular design, version control, security, logging, monitoring, and documentation.
- 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, agent-based architectures, or LLM application integration.
- Hands-on experience using LangGraph and LangChain for LLM applications, agents, and workflow orchestration.
Privalumai
- Competitive compensation package.
- Additional attractive benefits.
- Equal employment opportunity.
- Reasonable accommodations for qualified individuals with disabilities.
- Fair chance hiring, with background checks beginning after an offer is made.