Senior Backend / ML Platform Engineer – Multi‑Agent AI Apps

We’re building production‑grade, multi‑agent AI applications that act on live data, automate workflows, and plug into real business systems.

We are hiring a senior engineer who can work on scalable backend services and data/ML infrastructure (external data + models + APIs)

What You’ll Do:

Design & build backend services and data stores that power multi‑agent AI products.

Integrate 3rd‑party APIs end‑to‑end (auth, rate limits, retries, schema drift).

Productionize model endpoints & inference services behind clean APIs.

Must Know Core Skills:

Strong backend in Python, Go, or Node/TypeScript.

SQL & data modeling fundamentals.

Streaming & batch pipelines (Kafka, Kinesis, Pub/Sub, or similar).

Cloud deploy on AWS / GCP / Azure.

Containers (Docker; orchestration experience a plus).

Monitoring / logging stack (Prometheus, Grafana, ELK, etc.).

Proven 3rd‑party API integration experience.

Nice‑to‑Have Skills:

Distributed compute: Spark, Dask.

Workflow orchestration: Airflow, Prefect.

LangChain / LLM APIs experience.

Model serving: Triton, FastAPI, Hugging Face Inference, or equivalent.

Secrets & key mgmt: Vault, KMS.

Domain mileage in realtime / high‑stakes systems (ad tech, trading, payments, logistics).

DM us on LinkedIn or email (hr@collectcent.com) with a short note + your GitHub / resume.

Don’t meet 100% of the Skills listed, apply anyway, we will review your skills and may connect for further discussion.

Salary: Competitive salary