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.