Artificial Intelligence Software Developer

4 days ago

Belgaum, Karnataka, India beBeeMachineLearning Full time ₹ 9,00,000 - ₹ 11,40,000
Software Engineer for AI Solutions

We are building cutting-edge Generative AI-native solutions that power applications across healthcare and fintech.

As a Backend Software Engineer, you will be responsible for developing and maintaining backend architecture, software development, implementing machine learning algorithms, ensuring efficient performance, and collaborating with front-end developers to integrate user-facing elements.

Key Responsibilities
  • Build robust backend systems & APIs to deploy and scale ML solutions efficiently.
  • 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.
Requirements
  • Bachelor's / Master's degree in CS, Data Science, AI/ML.
  • 1-3 years of experience in backend development, with a focus on building scalable, distributed systems.
  • Programming languages: MERN, Python, Golang. Java is optional but definitely a plus.
  • 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.

This role combines strong software engineering fundamentals with applied machine learning expertise. We value your time and ours, so please do not apply without considering the requirements carefully.

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