{"id":3419023,"url":"https://alion.io/job/live-connections-full-stack-engineer-ai","title":"Full stack Engineer - AI","company":{"id":3800103,"name":"Live Connections","domain":"liveconnections.in","url":"https://alion.io/company/live-connections-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, 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using Docker, and publish/version images to Artifact Registry.\n• Integrate applications with GCP Load Balancers fronting Cloud Run endpoints, ensuring correct routing, health checks, and traffic management for dashboard/app front ends.\n• Collaborate with the DevOps engineer on CI/CD pipeline integration — ensuring app builds, tests, and deployments are automated end-to-end alongside model deployments.\n• Work with Data Engineering and Data Science teams to understand model input/output contracts (schemas, request/response formats) and build reliable integrations against them.\n• Implement authentication, authorization, and secure API communication between applications and model endpoints across tenants/environments.\n• Build monitoring/logging hooks into applications (via Cloud Monitoring/Cloud Logging) to track usage, latency, and errors when invoking models.\n• Write clean, tested, maintainable code, and participate in code reviews across the two-person app engineering team.\n• Troubleshoot issues spanning frontend, backend, container, and network layers when applications don't behave as expected against model endpoints.\n• Contribute to documentation of application architecture, API contracts, and deployment processes.\nRequired:\n• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.\n• 5+ years of experience as a full stack engineer, with strong proficiency in Python for backend development.\n• Experience building frontend interfaces/dashboards (e.g., React, Vue, or Python-based dashboarding frameworks such as Streamlit/Dash) that consume backend/model APIs.\n• Hands-on experience with conda for Python environment/dependency management.\n• Experience containerizing applications with Docker and publishing images to a registry (Artifact Registry or equivalent).\n• Experience deploying and consuming services via Cloud Run, including working with services fronted by GCP Load Balancers.\n• Experience calling and integrating with model-serving/ML endpoints (e.g., Vertex AI endpoints or similar) from application code.\n• Solid understanding of REST/HTTP API design and integration patterns.\n• Familiarity with CI/CD workflows and working alongside DevOps to automate build/deploy pipelines.\n• Understanding of basic security practices for application-to-service communication (auth tokens, IAM, secrets handling).","description_format":"text","description_chars":3010,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Recruiting & Staffing","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-10-28T20:09:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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