About the Role

We’re hiring an AI Infrastructure Engineer to shape and scale the backend systems that power our AI platform. As a Series A company, your work will be foundational, enabling safe, efficient, and reliable AI workflows from end to end.

What You’ll Do

• Design and implement scalable backend architectures for AI workloads (inference, orchestration, monitoring).

• Own distributed job orchestration with Temporal and related systems.

• Improve data pipeline performance by designing smarter caching strategies (e.g., file deduplication, hot/cold storage, Redis caching layers) to reduce redundant compute and API calls.

• Build observability, monitoring, retries, and fault tolerance into all workflows.

• Manage infrastructure reliability, incident response, and performance.

• Develop tooling and platform infrastructure to support rapid growth.

• Partner with ML engineers to bring models to production at scale.

What We’re Looking For

• 4+ years of backend engineering (Python is a must).

• Strong background in distributed systems, job orchestration, and task queues.

• Deep knowledge of concurrency, parallelism, and multithreading—including async/await, event loops, thread pools, synchronization primitives, deadlocks, and race conditions—is a must. You should know how to design systems that maximize throughput without sacrificing correctness or safety.

• Hands-on experience with Temporal, Redis, Airflow, Celery, RabbitMQ (or similar).

• Experience with LLM serving and routing fundamentals (rate limiting, streaming, load balancing, budgets).

• Comfortable with containers & orchestration: Docker, Kubernetes.

• Familiarity with cloud platforms (AWS/GCP) and IaC (Terraform).

• Experience with multiple storage systems: S3, Postgres, MongoDB, Redis, and Elasticsearch.

• Track record scaling systems in startups or fast-paced environments.

• Understanding of deploying, monitoring, and optimizing AI/ML systems in production with strong CI/CD practices.

Why You’ll Love Working Here

• Play a foundational role at a fast-growing Series A startup that is shaping the future of AI in enterprise workflows.

• Collaborate across Product, ML, and Platform teams, being the bridge between AI logic and scalable execution.

• Build infrastructure that enables real value for large enterprises: low-code, secure, and scalable AI workflows.

• Join a company that’s scaling thoughtfully and values developer experience.