AI-Native Software Engineer, Senior

AT&T • Dallas, TX

19h • 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

• AI-Native Engineering Mindset: 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.
• Advanced Technical Expertise: 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.
• Leadership & Collaboration: 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