AI-Native Software Engineer, Senior

AT&T • Atlanta, GA

2d • $128,400 - $215,800 • Onsite

About The Position

AT&T is seeking an AI-Native Software Engineer, Senior who combines strong software engineering fundamentals with expertise in AI-enabled application development, agentic workflows, and enterprise system integration. In this role, you will build production-grade applications, APIs, and intelligent workflow automations that help transform how work gets done across the enterprise. You will partner directly with business and technical stakeholders in a collaborative "2-in-a-box" model, rapidly translating business needs into scalable, secure, and maintainable software solutions. Success in this role requires a deep understanding of modern software engineering, practical experience applying Large Language Models (LLMs) and agent frameworks, and a passion for using AI to accelerate both software delivery and business outcomes.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience.
• 5+ years of professional software engineering experience delivering production-grade applications and services.
• Experience building scalable backend services and RESTful APIs using Python frameworks such as FastAPI, Flask, or Django.
• Experience deploying and operating applications in cloud or enterprise environments.
• Experience integrating enterprise systems through APIs, databases, event-driven architectures, or service-oriented platforms.
• Experience implementing CI/CD pipelines, containerization technologies, and automated testing frameworks.
• Experience developing software solutions that leverage LLM capabilities and AI-assisted workflows.
• Strong software engineering fundamentals including system design, object-oriented programming, data modeling, and architecture.
• Proficiency in Python development and API design best practices.
• Experience with relational databases, SQL, and modern data persistence technologies.
• Understanding of distributed systems, asynchronous processing, and system reliability patterns.
• Knowledge of software security, authentication, authorization, secrets management, and audit controls.
• Strong understanding of observability, monitoring, performance analysis, troubleshooting, and production support.
• Excellent verbal and written communication skills with the ability to translate business requirements into technical solutions.

Nice To Haves

• Demonstrated ability to use AI coding assistants and AI-powered engineering tools to improve development velocity and software quality.
• Experience building software solutions that responsibly incorporate LLM capabilities, structured prompting, tool calling, validation, and human-in-the-loop controls.
• Knowledge of agent-based architectures and workflow automation technologies.
• Hands-on experience with agent orchestration frameworks such as LangGraph or similar technologies.
• Experience implementing RAG architectures, vector databases, embeddings, and AI grounding strategies.
• Familiarity with workflow orchestration platforms such as Temporal, Airflow, Celery, or comparable solutions.
• Experience with event-driven architectures and messaging technologies such as Kafka or cloud-native messaging services.
• Knowledge of modern API gateways, OAuth2, OpenID Connect (OIDC), and secure enterprise integration patterns.
• Ability to turn ambiguous business challenges into scalable technical solutions.
• Strong problem-solving skills and a bias toward execution and continuous improvement.
• Experience working closely with business stakeholders in highly collaborative environments.
• Passion for modern software engineering, AI innovation, and driving measurable business impact.

Responsibilities

• Build AI-Powered Applications & Agentic Workflows: Design, develop, and deploy AI-enabled applications and intelligent workflow automations using modern LLM technologies.
• Build and orchestrate agentic workflows leveraging frameworks such as LangGraph and similar orchestration platforms.
• Develop multi-step and multi-agent solutions including routing, planning, tool utilization, workflow execution, and escalation patterns.
• Implement retrieval-augmented generation (RAG), vector search, and context management strategies to improve AI accuracy and effectiveness.
• Establish evaluation frameworks, testing methodologies, and release controls for AI-enabled solutions.
• Engineer Enterprise-Scale APIs & Integrations: Design and build scalable backend services and APIs using Python frameworks such as FastAPI, Flask, or Django.
• Integrate AI solutions with enterprise systems, databases, event streams, and approved APIs.
• Develop secure service contracts, validation frameworks, retry mechanisms, and observability capabilities.
• Ensure enterprise-grade security, governance, auditability, and access controls across all integrations.
• Deliver Full-Stack Software Solutions: Develop end-to-end applications spanning backend services, data platforms, integrations, and user-facing interfaces.
• Build modern web experiences and workflow-driven applications using contemporary front-end technologies.
• Collaborate with stakeholders to rapidly prototype, iterate, and productionize solutions that solve real business challenges.
• Contribute to reusable platform components, libraries, and software assets that accelerate adoption across teams.
• Drive Operational Excellence: Apply secure-by-design principles including authentication, authorization, secrets management, and compliance-aligned logging.
• Implement automated testing, CI/CD pipelines, monitoring, tracing, alerting, and performance optimization.
• Ensure reliability through resilient system design patterns including retries, timeouts, rate limiting, and graceful degradation.
• Leverage AI-assisted development tools to accelerate coding, testing, documentation, debugging, and delivery.
• Partner with the Business: Work directly with business leaders and stakeholders to understand objectives and translate requirements into technical solutions.
• Communicate complex technical concepts to non-technical audiences and influence solution decisions.
• Balance tradeoffs between speed, scale, cost, security, and maintainability.
• Operate in a highly collaborative environment where business and engineering teams jointly own outcomes.

Benefits

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

What This Job Offers

• Job Type: Full-time
• Career Level: Senior