What are the responsibilities and job description for the AI Developer (Platform + Backend) position at Photon?
Job Title : AI Developer (Platform Backend)
Location :Tempe ,AZ
Summary:
Photon is seeking a skilled AI Developer (Platform Backend) to support the design, development, and implementation of AI-powered employee support platform.
The 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.
The 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.
Responsibilities
Design, develop, and maintain scalable backend services using Python and FastAPI.
Build and integrate AI-powered services, APIs, and workflow orchestration components.
Develop RESTful APIs and microservices for frontend, mobile, and enterprise integrations.
Integrate Generative AI services, LLMs, vector databases, and semantic search capabilities.
Build and implement agent-based workflows including multi-step execution, tool integrations, and AI-driven decision flows.
Work with enterprise systems including HR, IT, identity, and operational platforms.
Develop secure, scalable, and high-performance backend architectures.
Implement asynchronous processing, event-driven communication, and API integrations.
Collaborate with frontend, mobile, DevOps, product, and AI engineering teams.
Support cloud-native deployments using containers and Kubernetes.
Write clean, maintainable, and testable code with proper documentation and testing practices.
Participate in code reviews, debugging, monitoring, and production support activities.
Contribute to CI/CD pipelines, automated testing, and engineering best practices.
Implement logging and monitoring for AI workflows including request tracing, latency tracking, and error analysis.
Qualifications:
5 years of experience in backend or platform engineering.
Strong hands-on expertise in Python and FastAPI development.
Experience building REST APIs, microservices, and backend integration services.
Experience working with Generative AI, LLM APIs, AI orchestration frameworks, or AI-powered applications.
Strong understanding of distributed systems and cloud-native application development.
Experience with databases such as PostgreSQL, MongoDB, Redis, or vector databases.
Knowledge of asynchronous programming and event-driven architectures.
Experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or Google Cloud Platform.
Strong understanding of API security, authentication, and authorization mechanisms.
Familiarity with Git-based workflows and Agile development practices.
Strong debugging, problem-solving, and communication skills.
Experience with RAG pipelines, vector databases, and semantic search.
Good to Have
Exposure to LangChain, LlamaIndex, OpenAI APIs, or similar AI frameworks.
Experience with Kafka, RabbitMQ, or messaging/event-streaming platforms.
Familiarity with Flutter/mobile integrations and frontend-backend communication.
Experience in QSR, retail, hospitality, or enterprise digital platforms.
Exposure to workflow automation and enterprise orchestration systems.
Experience with observability, monitoring, and logging tools.
Understanding of AI governance, prompt engineering, and AI evaluation frameworks.
AI Developer (Platform Backend)@Tempe ,AZ . Please share your resumes to
5 years of experience in backend or platform engineering.
Strong hands-on expertise in Python and FastAPI development.
Experience building REST APIs, microservices, and backend integration services.
Experience working with Generative AI, LLM APIs, AI orchestration frameworks, or AI-powered applications.
Strong understanding of distributed systems and cloud-native application development.
Experience with databases such as PostgreSQL, MongoDB, Redis, or vector databases.
Salary : $100,000 - $140,000