{"id":844664,"url":"https://alion.io/job/innopeaktech-backend-engineer-generative-ai-services","title":"Backend Engineer, Generative AI Services","company":{"id":679605,"name":"InnoPeak Technology","domain":"innopeaktech.com","url":"https://alion.io/company/innopeaktech","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-06T05:58:05Z"}},"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":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Django","optional":false},{"name":"Firestore","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Vertex AI","optional":false},{"name":"Apache Kafka","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Gemini","optional":true},{"name":"Google Cloud Run","optional":true},{"name":"Google GKE","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"Memcached","optional":true},{"name":"Redis","optional":true}],"status":"live","first_seen_at":"2025-06-26T00:00:00Z","employer_posted_date":"2025-06-26","last_verified_at":"2026-11-06T05:51:06Z","board_verified":true,"closed_at":null,"days_open":498,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":498},"description":"OPPO US Research Center is seeking a talented and experienced backend engineer to join our growing team. In this pivotal role, you will be responsible for designing, developing, and maintaining scalable and high-performance RESTful APIs that serve as the backbone for our generative AI-powered Android applications.\nYou will work primarily with platforms like Google Cloud or Azure to bring advanced AI capabilities directly to our users' mobile phones. This is a unique opportunity to build mission-critical services that will define how users interact with AI in a mobile platform, from concept to deployment.\nRequirements\nCore Development & Infrastructure\n Design, develop, and maintain scalable RESTful APIs in Python to power generative AI features\n Integrate backend services provided by the platform such as GCP Vertex AI or developed internally\n Performance & Systems\n Optimize API performance and scalability for global Android users\n Contribute to architectural design of distributed systems (availability, fault tolerance)\n Collaboration & Operations\n Work closely with Android and ML teams on API contracts and model integration\n Implement monitoring, logging, and security best practices for production systems\n Quality & Innovation\n Ensure code quality through testing (unit, integration, E2E) and documentation\n Stay updated on generative AI and cloud technology trends\n Qualifications:\n Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.\n 3+ years of professional backend software development experience, with a focus on building and deploying RESTful APIs.\n Proficiency in Python and one of the associated web frameworks (e.g., Flask, Django).\n Demonstrable experience with at least one major cloud platform (AWS, Azure, or GCP)\n Experience with relational (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., Firestore, MongoDB).\n Solid understanding of microservices architecture, asynchronous processing, and event-driven systems.\n Experience with version control systems, particularly Git.\n Strong problem-solving skills, with the ability to debug complex systems and diagnose issues across the stack. \n Preferred Qualifications:\n Master's degree in Computer Science, AI, or a related field.\n Direct hands-on experience integrating with Google Cloud Platform's Vertex AI APIs (e.g., PaLM, Gemini, Imagen, Codey, etc.)\n Experience with containerization technologies (Docker) and orchestration (Kubernetes, Cloud Run, GKE).\n Familiarity with CI/CD pipelines and DevOps practices.\n Understanding of fundamental machine learning and deep learning concepts, especially in the context of generative AI.\n Experience or strong interest in building APIs specifically for mobile applications (Android/iOS).\n Knowledge of data streaming technologies (e.g., Kafka, GCP Pub/Sub).\n Experience with caching technologies (e.g., Redis, Memcached).\n The ability to collaborate effectively with cross-functional teams.\n Benefits\nOPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.\nThe US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. 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