Architect and implement scalable multi-tenant backend systems for building AI agent workflows
Collaborate with Design team to architect and implement frontend experiences and workflows
Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms
Oversee the end-to-end lifecycle of AI agent applications
Continuously optimize platform performance, reducing latency and improving throughput
Act as the tech lead for a sub-team, setting technical direction and ensuring consistency
Establish and champion engineering standards for ML infrastructure, deployment practices, and operational procedures
Work closely with data scientists and software engineers to seamlessly deploy ML systems into production environments

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, or a related field; an advanced degree (master’s or Ph.D.) is highly desirable
6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
6+ years of experience working with cloud platforms such as Azure and AWS
Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems
6+ years of experience working with common backend systems & tools (e.g., Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
Deep understanding of Docker, container optimization, and multi-stage builds
Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
Deep proficiency in programming languages such as Python, Java, Go, etc.
Proficiency in AIML frameworks such as TensorFlow, PyTorch, Langraph, etc.

Benefits

Comprehensive Total Rewards program
401K savings plan with 6% match
Tuition assistance
Mental healthcare benefits
Fertility and adoption assistance
Workplace flexibility programs

Applicant Tracking System Keywords

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

Hard Skills & Tools

multi-tenant systemsAI agent workflowsobservability frameworksplatform performance optimizationML infrastructuredata pipelinesreal-time inference systemsprogramming languagesAIML frameworkscontainer optimization

Soft Skills

collaborationtechnical leadershipsetting technical directionchampioning engineering standards

Certifications

Bachelor’s degreeMaster’s degreePh.D.