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Autonomous AI Systems Architect

2 weeks ago

Singapore beBeeEngineering Full time $150,000 - $180,000
Principal AI Engineer

We are seeking an experienced software engineer to join our team and take on a leadership role in building autonomous AI agents.

About the Role

The ideal candidate will have a solid engineering foundation, strong grasp of algorithms, data structures, and code-review best practices. They will also have hands-on experience designing or extending agent stacks such as LangChain, AutoGen, CrewAI, or custom in-house task-graph engines.

Key Responsibilities
  1. Architect modular Python libraries and a CLI that expose core agent primitives—task graphs, skills, memory, and tool interfaces.
  2. Implement a scalable orchestration layer (Celery, Argo Workflows, Prefect, or similar) that runs multi-step CV pipelines with retry, rollback, and SLA guarantees.
  3. Create CLI utilities and REST/gRPC APIs that let engineers trigger, inspect, and debug agent runs.
Requirements
  • Solid engineering foundation – At least 3 + years writing production software (ideally Python), strong grasp of algorithms, data structures, Git workflows, and code-review best practices.
  • Agent frameworks – hands-on experience designing or extending agent stacks such as LangChain, AutoGen, CrewAI, or custom in-house task-graph engines.
  • Orchestration at scale – proficiency with a workflow scheduler or task queue (Prefect, Argo Workflows, Airflow, Dagster, Celery) and the patterns for retry, rollback, and SLA tracking.
  • Computer-vision pipeline know-how – practical exposure to training and evaluating CV models (classification, detection, segmentation) and understanding of data-quality pitfalls.
  • Evaluation & observability – ability to build automated test/evaluation harnesses using pytest, MLflow, wandb, or equivalent, and expose metrics via Prometheus/Grafana or OpenTelemetry.
Preferred Skills
  • Portfolio of AI/Computer Vision/Agent projects or open-source contributions.
  • UI development experience (e.g., Gradio, Streamlit).
  • ML observability tools familiarity (e.g., Grafana or Datadog).
Benefits

This is a 2-year contract position based in Singapore.