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AT&T

Principal AI-Native Software Engineer

AT&T

. Design and build production-grade AI-enabled applications, backend services, and REST APIs using Python and frameworks such as FastAPI, Flask, or Django .

Posted 11/12/2026full-timeUnited StatesLead💰 $155,400 - $261,100 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive experience in designing and building AI-enabled applications and backend services using Python, with a strong focus on REST APIs and secure integration practices. Proficient in implementing automated testing, CI/CD, and production observability while leveraging modern frameworks and tools.

Highest-signal resume keywords
Python DevelopmentREST API DesignAI Workflow IntegrationAutomated Testing & CI/CDSecure API Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonFastAPIFlaskDjangoSQLNoSQLDockerUnit TestingIntegration TestingAI Coding Assistants
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
LangGraphAngularKafkaSNS/SQSPub/SubTemporalCeleryAirflowService MeshAPI Gateways
Certifications & Qualifications
Bachelor's Degree in Computer ScienceComputer EngineeringSoftware Engineering
Industry Keywords
AI-Enabled ApplicationsMicroservice ArchitecturesEvent-Driven ArchitecturesProduction MonitoringAgentic Workflows

Tech Stack

Tools & technologies
AirflowAngularCloudDistributed SystemsDjangoDockerFlaskJavaScriptKafkaNoSQLPythonSQLTypeScript

About the role

Key responsibilities & impact
  • Design and build production-grade AI-enabled applications, backend services, and REST APIs using Python and frameworks such as FastAPI, Flask, or Django
  • Create agentic AI workflows using LangGraph or similar frameworks, including tool calling, routing, planning and execution, multi-step workflows, and human-in-the-loop patterns
  • Partner directly with business and technical stakeholders in a collaborative 2-in-a-box model, translating ambiguous business challenges into technical designs and working solutions
  • Integrate AI applications securely with enterprise APIs, databases, event streams, service gateways, and other internal platforms
  • Design reliable tool and service contracts for AI agents, including schemas, validation, idempotency, retries, rate limits, error handling, and access controls
  • Develop evaluation strategies for AI and agentic systems, including success criteria, regression testing, prompt/tool validation, guardrails, and release gates
  • Implement RAG, vector search, context engineering, structured outputs, and grounding techniques
  • Build end-to-end solutions across backend services, databases, and front-end experiences using technologies such as Angular and other modern web frameworks
  • Apply secure-by-design practices including authentication, authorization, secrets management, least privilege, auditability, input validation, and PII-aware data handling
  • Build production observability with logging, metrics, distributed tracing, dashboards, alerting, and incident troubleshooting
  • Implement automated testing, CI/CD, Docker-based deployment, and resilient distributed-system patterns including retries, timeouts, circuit breakers, backpressure, and graceful degradation
  • Use AI coding assistants throughout the engineering lifecycle for code generation, refactoring, testing, debugging, and documentation while maintaining rigorous engineering standards

Requirements

What you’ll need
  • 8+ years of professional software engineering experience building and delivering production applications or services
  • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, a related technical discipline, or equivalent practical experience
  • Strong Python development experience, ideally with FastAPI, Flask, or Django
  • Hands-on experience designing and developing REST APIs and backend/microservice architectures
  • Experience integrating applications with enterprise platforms, databases, APIs, or distributed systems
  • Strong knowledge of SQL and relational databases; NoSQL/document database experience is beneficial
  • Experience with unit testing, integration testing, automated testing, CI/CD, code review, and refactoring
  • Experience with Docker and deployment into cloud or enterprise environments
  • Working knowledge of production monitoring using structured logging, metrics, tracing, performance analysis, and incident troubleshooting
  • Understanding of secure API development, authentication/authorization, secrets management, least privilege, and audit logging
  • Hands-on experience integrating LLMs or Generative AI capabilities into software applications
  • Experience with tool/function calling, structured prompting, output validation, RAG, retrieval, or other grounding techniques
  • Demonstrated use of AI coding assistants as part of the software development lifecycle
  • Preferred: hands-on experience with LangGraph or comparable agent orchestration frameworks
  • Preferred: experience designing multi-agent or multi-step agentic workflows
  • Preferred: experience with Temporal, Celery, Airflow, or other workflow/orchestration technologies
  • Preferred: knowledge of event-driven architectures using Kafka, SNS/SQS, Pub/Sub, or comparable technologies
  • Preferred: experience implementing RAG, embeddings, semantic/vector search, and vector databases in production environments
  • Preferred: experience with OAuth 2.0, OIDC, API gateways, or service mesh technologies
  • Preferred: experience developing reusable SDKs, internal developer platforms, AI tool libraries, or reference architectures
  • Preferred: experience with Angular or another modern JavaScript/TypeScript front-end framework

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