Architect and build scalable backend services, APIs, and distributed systems
Collaborate with ML engineers to integrate models into agent-based systems and AI products involving autonomous or task-driven agents
Guide junior engineers through mentorship and technical reviews
Own architectural decisions in new product features
Ensure reliability, performance, and security across systems
Contribute to an engineering culture of speed, quality, and pragmatic innovation

Requirements

Education: Degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience
Experience: 3 - 5 years of experience building backend systems and distributed infrastructure
Technical Expertise: Fluency in TypeScript and Node.js, or a similar modern backend stack; experience with microservices, async job queues, and event-driven architectures
Systems Thinking: Familiarity with cloud platforms (AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines, devops tooling, runtime infrastructure, and production observability
Engineering Craft: Strong understanding of software engineering best practices, including testing, code reviews, and version control workflows
Product Mindset: Thoughtful about trade-offs, user experience, and fast iteration
Team Leadership: Willing to mentor, lead by example, and influence technical direction without being a pure manager

Benefits

Competitive Compensation
Hybrid Work Culture
Professional Growth
Real Ownership
Collaborative & Innovative Environment

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

backend servicesAPIsdistributed systemsTypeScriptNode.jsmicroservicesasync job queuesevent-driven architecturessoftware engineering best practicestesting

Soft skills

mentorshiptechnical reviewsteam leadershipinfluence technical directionproduct mindsetcollaborationcommunicationproblem-solvingadaptabilityinnovation