Advanced AI Software Engineer

5 days ago

Anantapur, Andhra Pradesh, India beBeeAI Full time ₹ 25,00,000 - ₹ 30,00,000
Job Description:

We are seeking a talented individual to spearhead the development of cutting-edge AI platforms. As a fast-growing startup, we're revolutionizing the waste industry with intelligent solutions that unlock efficiencies and foster sustainability at scale.

The ideal candidate will thrive in a dynamic startup environment, take ownership of projects, and drive them forward. Key responsibilities include designing and maintaining robust pipelines for processing image and video data, architecting scalable and reliable infrastructure for data storage and model deployment, and collaborating closely with frontend and product teams.

Our team values autonomy, ownership, and passion for AI, automation, and environmental impact. If you have a strong background in MLOps, platform engineering, or related backend engineering roles, we want to hear from you.

  • Design, build, and maintain robust pipelines for processing image and video data, running ML model inferences, and serving results efficiently.
  • Architect, implement, and manage scalable and reliable infrastructure for data storage, model deployment (CI/CD), and inference serving on cloud platforms.
  • Work closely with frontend and product teams to design and implement backend services and APIs that power responsive, data-driven UI experiences.
  • Manage databases, implement background task processing and access control.
  • Implement monitoring, logging, and alerting systems; manage secrets securely; ensure system scalability and stability through automated deployments and rollbacks.
  • Help establish and advocate for MLOps/Platform best practices within the team.

Requirements:

  • 5+ years of proven experience in MLOps, AI/ML Infrastructure, Platform Engineering, or a related Backend Engineering role.
  • Strong programming skills, particularly in Python, and deep experience with ML frameworks.
  • Extensive hands-on experience with CI/CD practices, containerization (e.g., Docker), and cloud platforms (GCP/AWS).
  • Proven experience designing and managing data storage solutions (databases, cloud storage) and messaging/queuing systems in production.
  • Solid understanding and application of software engineering best practices (testing, version control, etc.).
  • Demonstrable experience building, deploying, and maintaining scalable, production-grade systems.
  • Ability to work independently, take initiative, own projects end-to-end, and drive them to completion in a fast-paced, evolving startup environment.
  • Proficiency in English.

Keyword:

Key Benefits:

  • Attractive salary and stock options.
  • Significant autonomy and ownership in a core area of the business.

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