AI Software Developer

2 days ago

Bellary, Karnataka, India beBeeArtificial Full time ₹ 9,00,000 - ₹ 11,40,000
Job Title

An AI Engineer is responsible for designing, building and scaling production-ready AI systems.

  • This combines strong software engineering fundamentals with applied machine learning expertise.
About the Role

The role is 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.

  1. Building robust backend systems & APIs to deploy and scale ML solutions
  2. Designing cost-efficient, high-availability ML pipelines and scalable cloud supported backend solutions
  3. Implementing ML lifecycle workflows — from experiment tracking (MLflow/Kubeflow/DVC) to orchestration (Airflow/Prefect)
  4. Contributing to end-to-end product development: data ingestion, preprocessing, model serving, monitoring and continuous improvement
  5. Collaborating with cross-functional teams in a startup fast-paced environment
  6. Embedding intelligent agents, predictive models, and decision-making capabilities into backend workflows using Predictive learning through ML algorithms
Requirements

Key requirements include:

  • 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
  • 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
  • Design backend APIs to support AI-driven process optimization and NLP-powered automations
  • Startup-ready: adaptable, curious, hands-on
  • Strong ownership + problem-solving
  • Eager to push Generative AI into real-world adoption

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