{"id":3354357,"url":"https://alion.io/job/att-ai-native-software-engineer-analyst-full-stack-python-4","title":"AI-Native Software Engineer Analyst, Full-Stack Python","company":{"id":1753140,"name":"AT&T","domain":"att.com","url":"https://alion.io/company/att-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"A","score":97,"open_postings":94,"ghost_share":0,"stale_share":0.085,"repost_share":0.064,"time_to_fill_p50_days":27,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":77800,"max":130800,"currency":"USD","period":"year","gross":null,"usd_annual":130800},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Context Engineering","optional":false},{"name":"Django","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Angular","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Concourse","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"React.js","optional":true},{"name":"Semantic Search","optional":true},{"name":"TypeScript","optional":true}],"status":"closed","first_seen_at":"2026-10-27T19:29:54Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-28T22:56:17Z","board_verified":false,"closed_at":"2026-10-28T22:56:17Z","days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.\nLaunch your software engineering career at the intersection of Python, full-stack development, and Generative AI.\nWe are seeking a motivated, early-career AI-Native Software Engineer who is excited to build modern software solutions while learning how artificial intelligence is changing the way applications are designed, developed, tested, and delivered.\nNo prior professional experience is required. This opportunity is designed for recent graduates and emerging engineers whose experience may come from coursework, internships, hackathons, research, open-source contributions, or personal projects.\nYou'll work alongside experienced engineers, product partners, and business stakeholders to solve real business problems while gaining hands-on exposure to Python, APIs, LLMs, prompt and context engineering, RAG, AI agents, LangGraph, and Model Context Protocol (MCP).\nWe're looking for someone curious, hands-on, collaborative, and ready to learn quickly.\nWhat You'll Do:\nBuild and enhance modern applications using Python, APIs, databases, and user-facing technologies.\nDevelop backend services and integrations using frameworks such as FastAPI, Flask, or Django.\nUse AI coding assistants and LLM-powered development tools to support coding, testing, debugging, research, and documentation.\nExplore and contribute to solutions using Generative AI, large language models (LLMs), prompt engineering, RAG, embeddings, vector search, knowledge retrieval, and AI agents.\nGain hands-on experience with emerging agentic technologies such as LangGraph and Model Context Protocol (MCP).\nPartner closely with engineering, product, and business stakeholders to translate business challenges into practical technology solutions.\nWork within a collaborative \"2-in-a-box\" model, where engineering and business partners jointly shape solutions, priorities, and outcomes from concept through delivery.\nParticipate in solution design, demonstrations, planning sessions, code reviews, and technical discussions.\nWrite tests, troubleshoot applications, document your work, and contribute to reliable deployment practices.\nReview and validate AI-generated code and content rather than accepting generated outputs at face value.\nFollow established practices for secure coding, data privacy, application reliability, logging, and responsible AI development.\nLearn from feedback, ask questions, take ownership, and continuously expand your technical capabilities.\nWhat You'll Bring:\nA genuine interest in becoming an AI-native software engineer and learning how Generative AI can improve the software development lifecycle.\nFoundational programming knowledge, particularly with Python, developed through coursework, internships, academic work, or personal projects.\nUnderstanding of core software engineering concepts such as data structures, algorithms, object-oriented programming, testing, debugging, and version control.\nFamiliarity with APIs, HTTP, JSON, databases, and web application fundamentals.\nCuriosity about LLMs, AI agents, prompt engineering, RAG, AI-assisted coding, or Generative AI applications.\nA willingness to experiment with new technologies while thoughtfully reviewing and validating results.\nStrong problem-solving skills and an eagerness to tackle unfamiliar technical challenges.\nThe ability to collaborate with both technical and non-technical partners.\nA growth mindset with the confidence to ask questions, receive feedback, take initiative, and learn quickly.\nWhat You'll Need:\nBachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related technical field.\n0 years of professional experience required. Recent graduates and candidates nearing completion of their degree are encouraged to apply.\nHands-on exposure to Python through coursework, internships, academic projects, hackathons, open-source contributions, or personal development projects.\nFoundational understanding of software development and web application concepts.\nExposure to one or more of the following is a plus:\nBackend: Python, FastAPI, Flask, Django\nFrontend: JavaScript, TypeScript, React, Angular, HTML, CSS\nAI/GenAI: LLMs, prompt engineering, RAG, embeddings, vector databases, semantic search, knowledge retrieval\nAgentic AI: AI agents, LangGraph, agent orchestration, MCP\nDevelopment: Git, GitHub, unit testing, CI/CD, Docker\nCloud: Azure, AWS, or Google Cloud\nHackathons, research, technical clubs, open-source communities, or independent coding projects\nYou do not need experience with every technology listed. We're looking for strong fundamentals, demonstrated curiosity, and people who are excited to learn and grow.\nWhy Join?\nThis is an opportunity to begin your engineering career on a team where AI is part of how software gets built, not simply a feature added at the end.\nYou'll develop strong full-stack software engineering fundamentals while gaining practical experience with Generative AI, LLM applications, agentic AI, and emerging development practices. If you're excited to build, experiment, collaborate, and grow in a fast-moving engineering environment, we'd like to hear from you.\n\nOur Analyst Data/AI Engineering jobs earn between $77,800.00 - $130,800.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.\nJoining our team comes with amazing perks and benefits:\nMedical/Dental/Vision coverage\n401(k) plan\nTuition reimbursement program\nPaid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)\nPaid Parental Leave\nPaid Caregiver Leave\nAdditional sick leave beyond what state and local law require may be available but is unprotected\nAdoption Reimbursement\nDisability Benefits (short term and long term)\nLife and Accidental Death Insurance\nSupplemental benefit programs: critical illness/accident hospital indemnity/group legal\nEmployee Assistance Programs (EAP)\nExtensive employee wellness programs\nEmployee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone\nWeekly Hours:\n40Time Type:\nRegularLocation:\nAlpharetta, Georgia, USA:GA:Atlanta / 1057 Lenox Park Blvd Ne - Adm:1057 Lenox Park Blvd Ne, USA:TX:Dallas / 208 S Akard St - Concourse:208 S Akard St @ Concourse, USA:WA:Bothell / 20309 North Creek Pkwy - Adm (bothell 7):20309 N Creek Pkwy @ Bldg LSalary Range:\n$77,800.00 - $130,800.00AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.","description_format":"text","description_chars":7540,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Parental leave","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile Networks","Broadband"],"lifecycle":[{"event":"open","at":"2026-10-27T19:29:54Z"},{"event":"close","at":"2026-10-28T22:56:17Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":130800,"is_top_pay":false},"html_url":"https://alion.io/job/att-ai-native-software-engineer-analyst-full-stack-python-4","json_url":"https://alion.io/job/att-ai-native-software-engineer-analyst-full-stack-python-4.json","meta":{"generated_at":"2026-11-02T01:21:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2079,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1753140},"rest":"https://alion.io/mcp/rest/get_company?id=1753140"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fatt-ai-native-software-engineer-analyst-full-stack-python-4"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fatt-ai-native-software-engineer-analyst-full-stack-python-4"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fatt-ai-native-software-engineer-analyst-full-stack-python-4"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/att-ai-native-software-engineer-analyst-full-stack-python-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fatt-ai-native-software-engineer-analyst-full-stack-python-4"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3354357}},{"tool":"search_jobs","arguments":{"company":"att.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3354357},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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