Note: The job is a remote job and is open to candidates in USA. UJET is a leader in AI-powered contact center innovation, offering a cloud platform that enhances customer experience through advanced AI solutions. They are seeking an AI Software Engineer to develop next-generation AI products, focusing on building scalable, reliable systems and user-friendly features across various platforms.
Responsibilities
- Build and own product and platform capabilities across Spiral and AXO, from early prototypes to production systems
- Design and implement AI-powered workflows, agent capabilities, and backend services that are scalable, secure, and reliable
- Develop high-performance APIs, async workers, and application logic in Python and TypeScript
- Ship user-facing product features and internal tools that make advanced AI systems useful and intuitive for customers
- Architect and improve data ingestion, parsing, and analysis pipelines that transform raw customer interaction data into structured, actionable insights
- Partner across engineering, product, and design to translate ambiguous product ideas into robust technical systems
- Own infrastructure and deployment patterns on AWS/GCP, with a focus on reproducibility, observability, security, and cost efficiency
- Improve system quality through evaluation, monitoring, logging, alerting, and operational best practices
- Help define engineering standards, review code, and mentor teammates working on distributed systems and AI applications
Skills
- 3-5 years of professional software engineering experience, with strong hands-on experience building production systems
- Strong experience as a generalist engineer who can move fluidly between backend systems, frontend, AI services, APIs, and product development
- Excellent programming skills in Python and TypeScript
- Experience shipping AI agents, LLM-powered applications, or other production AI systems, including prompt and tool orchestration, evaluation, and cost/reliability tradeoffs
- Strong product instincts and comfort working in ambiguous environments where the right solution is not obvious at the start
- Experience building and operating systems on AWS/GCP in production
- Comfort working with large, messy datasets and building pipelines that turn unstructured inputs into dependable product functionality
- Strong SQL and data systems fundamentals
- A bias toward ownership, speed, and pragmatic execution
- Experience building AI-native products from 0 to 1
- Familiarity with conversational data, support platforms, CRM/CCaaS integrations, or customer experience tooling
- Experience with observability, evaluation frameworks, and production reliability for AI systems
Benefits
- Medical, dental, vision, 401(k) plan, wellness benefits, and more.
Company Overview