
AI Backend Systems Developer
1 day ago
We are building innovative AI-native solutions that power applications across healthcare and fintech.
- We seek a qualified software engineer with hands-on experience in machine learning to co-assist in designing, building, and scaling production-ready AI systems.
This is a full-time hybrid role for an ML Backend Engineer. The position is based in Chennai but offers the flexibility of working from home for part of the time.
Key Responsibilities- Design and build robust backend systems & APIs to deploy and scale ML solutions.
- Work with cloud-native infrastructure (AWS) to design cost-efficient, high-availability ML pipelines and scalable cloud-supported backend solutions.
- Implement ML lifecycle workflows — from experiment tracking (MLflow/Kubeflow/DVC) to orchestration (Airflow/Prefect).
- Contribute to end-to-end product development: data ingestion, preprocessing, model serving, monitoring, and continuous improvement.
- Collaborate with cross-functional teams in a startup fast-paced environment.
- Work with founding engineers to embed intelligent agents, predictive models, and decision-making capabilities into backend workflows using Predictive learning through ML algorithms.
Bachelor's / Master's degree in CS, Data Science, AI/ML required. 1-3 years of experience in backend development, with a focus on building scalable, distributed systems.
- Programming languages: MERN, Python, Golang, Java.
- Databases: Strong experience with PostgreSQL + familiarity with NoSQL/MongoDB.
- MLOps & Infrastructure: Knowledge of MLflow, Kubeflow, DVC, CI/CD pipelines, Docker, Kubernetes.
- Cloud & Infra: AWS SageMaker/Bedrock, GCP Vertex AI, Azure AI.
- Versioning & Collaboration: Git, GitHub/GitLab, code reviews, unit testing.
Ability to write clean, modular, and scalable code with strong debugging & testing discipline.
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