Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4344047652&distance=25&f_TPR=r86400&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&refresh=true&sortBy=R Job Description: ujet.cx Share Show more options Senior Software Engineer, AI United States · 14 hours ago · 36 people clicked apply Responses managed off LinkedIn $120K/yr - $150K/yr Remote Matches your job preferences, workplace type is Remote. Full-time Apply Save Save Senior Software Engineer, AI at ujet.cx Did you apply? Let us know, and we’ll help you track your application. Yes No Senior Software Engineer, AI ujet.cx · United States (Remote) Apply Save Save Senior Software Engineer, AI at ujet.cx Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 About the job About Us UJET leads the way in AI-powered contact center innovation, delivering a future-proof, cloud platform that redefines the customer experience with cutting-edge AI, true multimodality, and a mobile-first approach. We infuse AI across every aspect of your customer journey and contact center operations, to drive automation and efficiency. UJET's AI solutions empower agents, optimize customer journeys, and transform contact center operations for elevated experiences and actionable insights. Built on a cloud-native architecture with a unique CRM-first approach, UJET ensures unmatched security, scalability, and prioritized data insights (without storing PII). Designed for effortless use, UJET partners with businesses to deliver exceptional interactions, smarter decision-making, and accelerated growth in the AI-driven world. Learn more at www.ujet.cx. Opportunity We are seeking a Senior Software Engineer to lead the architecture and implementation of our conversational AI platform. In this high-impact role, you will do more than just build features; you will own the ecosystem that allows our conversational AI capabilities to scale securely and reliably. You will act as a technical lead across the full stack - architecting backend integrations in Ruby on Rails, developing core AI services in Python, and managing the underlying cloud infrastructure via Terraform. This is a role for an engineer who understands that production-grade AI requires not just great models, but rock-solid infrastructure, efficient data pipelines, and seamless application integration. Responsibilities Architectural Leadership: Design and oversee the implementation of scalable, fault-tolerant systems that bridge our core Ruby on Rails/JavaScript application with cloud-native conversational services. Infrastructure as Code (IaC): Own the deployment and management of our AI infrastructure. You will write and maintain Terraform modules to provision cloud resources (GCP), ensuring our environment is reproducible, secure, and cost-effective. Backend Engineering & Integration: Build high-performance APIs and background workers in Ruby on Rails to handle asynchronous tasks, ensuring zero latency impact on the customer experience. AI Ops & Data Pipelines: Architect robust RAG (Retrieval-Augmented Generation) pipelines. You will optimize data ingestion strategies and manage vector database infrastructure to ensure our models have access to real-time, accurate context. Reliability & Observability: Define and implement monitoring, logging, and alerting strategies for both the application and infrastructure layers to meet strict enterprise SLAs. Mentorship: Champion engineering best practices, conduct code reviews, and mentor junior engineers on the nuances of building distributed systems involving NLP and LLMs. Requirements 5+ years of professional software engineering experience, with a focus on backend systems and infrastructure. Polyglot Expertise: Deep proficiency in Ruby on Rails for application logic and Python for AI/Data workflows. Experience with JavaScript/TypeScript for full-stack integration. Infrastructure Mastery: Demonstrated production experience with Terraform (IaC) and container orchestration (Docker/Kubernetes). You should be comfortable managing cloud resources (GCP preferred, AWS, Azure). Databases: Strong knowledge of SQL (PostgreSQL) and preferred experience with Vector Databases (Pinecone, Milvus, or pgvector). Annual US Hiring Range: $120,000 - $150,000 A candidate’s actual placement within this range will depend on geographic location, work experien