{"id":2597464,"url":"https://alion.io/job/photon-ai-dev-features-chq-tempeaz","title":"AI Dev (Features + CHQ)_Tempe,AZ","company":{"id":3186451,"name":"Photon","domain":"photon.com","url":"https://alion.io/company/photon-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"D","score":45,"open_postings":598,"ghost_share":0.913,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Anthem, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":78000,"max_usd":150000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1268},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Apache Kafka","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"OpenAI","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RabbitMQ","optional":true}],"status":"live","first_seen_at":"2026-05-27T21:57:26Z","employer_posted_date":"2026-05-27","last_verified_at":"2026-10-20T16:38:43Z","board_verified":true,"closed_at":null,"days_open":145,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":145},"description":"Summary\nPhoton is seeking a skilled AI Developer (Platform + Backend) to support the design, development, and implementation of AI-powered employee support platform.\nThe enterprise AI platform built to streamline support for frontline and HQ teams through intelligent automation, workflow orchestration, and AI-driven resolution experiences. The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity.\nThe AI Developer will be responsible for building scalable backend services using Python and FastAPI, integrating AI capabilities, developing APIs, and supporting AI orchestration workflows across the platform. The role requires strong hands-on experience in backend engineering, cloud-native development, API integrations, and modern AI application development.\nResponsibilities\nDesign, develop, and maintain scalable backend services using Python and FastAPI.\n\nBuild and integrate AI-powered services, APIs, and workflow orchestration components.\n\nDevelop RESTful APIs and microservices for frontend, mobile, and enterprise integrations.\n\nIntegrate Generative AI services, LLMs, vector databases, and semantic search capabilities.\n\nBuild and implement agent-based workflows including multi-step execution, tool integrations, and AI-driven decision flows.\n\nWork with enterprise systems including HR, IT, identity, and operational platforms.\n\nDevelop secure, scalable, and high-performance backend architectures.\n\nImplement asynchronous processing, event-driven communication, and API integrations.\n\nCollaborate with frontend, mobile, DevOps, product, and AI engineering teams.\n\nSupport cloud-native deployments using containers and Kubernetes.\n\nWrite clean, maintainable, and testable code with proper documentation and testing practices.\n\nParticipate in code reviews, debugging, monitoring, and production support activities.\n\nContribute to CI/CD pipelines, automated testing, and engineering best practices.\n\nImplement logging and monitoring for AI workflows including request tracing, latency tracking, and error analysis.\n\nQualifications\nNeed to Have\n5+ years of experience in backend or platform engineering.\n\nStrong hands-on expertise in Python and FastAPI development.\n\nExperience building REST APIs, microservices, and backend integration services.\n\nExperience working with Generative AI, LLM APIs, AI orchestration frameworks, or AI-powered applications.\n\nStrong understanding of distributed systems and cloud-native application development.\n\nExperience with databases such as PostgreSQL, MongoDB, Redis, or vector databases.\n\nKnowledge of asynchronous programming and event-driven architectures.\n\nExperience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP.\n\nStrong understanding of API security, authentication, and authorization mechanisms.\n\nFamiliarity with Git-based workflows and Agile development practices.\n\nStrong debugging, problem-solving, and communication skills.\n\nExperience with RAG pipelines, vector databases, and semantic search.\n\nGood to Have\nExposure to LangChain, LlamaIndex, OpenAI APIs, or similar AI frameworks.\n\nExperience with Kafka, RabbitMQ, or messaging/event-streaming platforms.\n\nFamiliarity with Flutter/mobile integrations and frontend-backend communication.\n\nExperience in QSR, retail, hospitality, or enterprise digital platforms.\n\nExposure to workflow automation and enterprise orchestration systems.\n\nExperience with observability, monitoring, and logging tools.\n\nUnderstanding of AI governance, prompt engineering, and AI evaluation 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