Senior AI-Native Software Engineer

AT&T

. Design, develop, and deploy AI-enabled applications and intelligent workflow automations using modern LLM technologies .

Posted 9/15/2026full-timeDallas • New Jersey • United StatesSenior💰 $128,400 - $215,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI-enabled applications, integrating scalable backend services and APIs using Python frameworks, and implementing robust CI/CD pipelines. Proficient in leveraging LLM technologies and workflow automation to deliver production-grade solutions while ensuring security and compliance.

Highest-signal resume keywords

Python DevelopmentAI-Enabled Application DevelopmentCI/CD Pipeline ImplementationBackend Service DesignWorkflow Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPIFlaskDjangoRESTful API DesignCI/CDRAG ArchitecturesVector DatabasesSQLObject-Oriented Programming

Soft Skills

Excellent CommunicationProblem-SolvingCollaborationStakeholder EngagementContinuous Improvement

Tools & Technologies

LangGraphTemporalAirflowCeleryKafkaOAuth2OpenID ConnectEvent-Driven ArchitecturesAI Coding AssistantsMonitoring Tools

Industry Keywords

AI InnovationSoftware SecurityObservabilityDistributed SystemsEnterprise Integration

Tech Stack

Tools & technologies

AirflowCloudDistributed SystemsDjangoFlaskKafkaPythonSQL

About the role

Key responsibilities & impact

Design, develop, and deploy AI-enabled applications and intelligent workflow automations using modern LLM technologies
Build and orchestrate agentic workflows using 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
Establish evaluation frameworks, testing methodologies, and release controls for AI-enabled solutions
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 integrations
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
Prototype, iterate, and productionize solutions with business and technical stakeholders
Contribute reusable platform components, libraries, and software assets
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 retries, timeouts, rate limiting, and graceful degradation
Leverage AI-assisted development tools for coding, testing, documentation, debugging, and delivery
Partner 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 collaboratively with business and engineering teams to jointly own outcomes

Requirements

What you’ll need

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
Demonstrated ability to use AI coding assistants and AI-powered engineering tools
Experience building software solutions incorporating 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

Benefits

Comp & perks

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (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