
Unlocking AI Potential: AI Backend Engineer Wanted
3 days ago
As a key member of our team, you will play a crucial role in developing and maintaining backend architecture, software development, and implementing machine learning algorithms. You will work closely with front-end developers to integrate user-facing elements.
Our ideal candidate has hands-on experience with ML and can contribute to the design, building, and scaling of production-ready AI systems. Strong software engineering fundamentals combined with applied machine learning expertise are essential for this position.
Key Responsibilities:- Backend System Development: Design and implement robust backend systems and APIs to deploy and scale ML solutions.
- Cloud-Native Infrastructure: Work with cloud-native infrastructure (AWS) to design cost-efficient, high-availability ML pipelines and scalable cloud-supported backend solutions.
- ML Lifecycle Workflows: Implement ML lifecycle workflows — from experiment tracking (MLflow/Kubeflow/DVC) to orchestration (Airflow/Prefect).
- Product Development: Contribute to end-to-end product development: data ingestion, preprocessing, model serving, monitoring, and continuous improvement.
- Collaboration: Collaborate with founders and cross-functional teams in a fast-paced startup environment.
- Intelligent Agents: Work with founding engineers to embed intelligent agents, predictive models, and decision-making capabilities into backend workflows using Predictive learning through ML algorithms.
- Hands-on experience with ML.
- Strong software engineering fundamentals.
- Applied machine learning expertise.
- Experience with cloud-native infrastructure (AWS).
- Knowledge of ML lifecycle workflows.
- Ability to collaborate in a fast-paced startup environment.
We offer a dynamic and challenging work environment that fosters growth and innovation. As a member of our team, you will have the opportunity to work on cutting-edge projects and contribute to the development of AI solutions that make a real impact.
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