AI Engineer

2 weeks ago

Hyderabad, Telangana, India beBeeFullstack Full time ₹ 20,00,000 - ₹ 25,00,000

We are seeking a highly skilled professional to join our team and contribute to the development of our AI Enabled Enterprise Solutions Platform.

Key Responsibilities
  • Design, develop, and maintain robust web applications with seamless integration between frontend and backend components.
  • Integrate large language models and AI agents into applications to enhance functionality, automation, and user experience.
  • Build and maintain efficient RESTful APIs and/or GraphQL endpoints for AI-powered features and services.
  • Design and manage both relational and NoSQL databases to support AI-driven data workflows.
  • Collaborate with frontend developers, data scientists, and other stakeholders to deliver innovative, AI-centric solutions.
  • Conduct code reviews, write unit and integration tests, and ensure code quality and performance.
  • Mentor junior engineers and share knowledge on AI integration, best practices, and modern development tools.
  • Stay updated with emerging AI technologies, frameworks, and industry trends, and drive the adoption of best practices.
Qualifications and Skills
  • Junior: 2+ years of experience in full stack web development.
  • Manager: 5+ years of experience in full stack web development.
  • Proficiency in frontend frameworks such as React JS.
  • Strong backend development experience with Node.js, Python.
  • Hands-on experience integrating large language models (e.g., GPT-3, BERT) or similar AI technologies.
  • Experience with RESTful APIs, GraphQL, and microservices architecture.
  • Solid understanding of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices.
  • Experience with version control systems (e.g., Git) and CI/CD pipelines.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.
  • Experience with containerization technologies like Docker and Kubernetes.
  • Knowledge of security best practices for web and AI applications.
  • Familiarity with automated testing frameworks and tools.
  • Understanding of prompt engineering and multi-agent orchestration.

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