Artificial Intelligence Engineer

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Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

AI Engineer | Hyderabad


About CodeVyasa


KEY RESPONSIBILITIES

● Design and deploy intelligent, agent-driven systems that autonomously solve

complex, real-world problems using cutting-edge algorithms and AI libraries.

● Engineer collaborative agentic frameworks that coordinate multiple specialized

AI capabilities

● Build and extend MCP-based infrastructure that enables secure, context-rich

interaction between agents and external tools, empowering AI systems to act, reason,

and adapt in real-time.


● Build human-in-the-loop agent workflows where humans benefit from AI assistance

in decision-making and automation, while agents learn and improve through

continuous human feedback.

● Stay abreast of the latest trends in AI research and integrate them into our products

and services.

● Communicate technical challenges and solutions to non-technical stakeholders and

team members.


Skills Required:

  • Fluency in Python and experience with core machine learning and deep learning

(e.g., PyTorch, TensorFlow)

evaluate models in real-world environments.

  • Solid grasp of modern

    ML/AI fundamentals

    , including representation learning,

optimization, generalization, and evaluation metrics across supervised,

unsupervised, and generative settings.

  • Experience working with multimodal data, including text, image, and structured

formats, and building pipelines for feature extraction, embedding generation, and

downstream model consumption.

  • Hands-on experience integrating

    AI models

    into production workflows,

including model inference, API deployment, and system monitoring.

  • Proficiency in using version control, testing frameworks, and collaborative

Git and basic CI/CD practices.

  • Ability to communicate clearly about system behavior, trade-offs, and

architectural decisions, especially when working across interdisciplinary teams.

  • Understanding of

    LLMOps/MLOps principles

    , including model/version tracking,

pipeline reproducibility, observability, and governance in production environments.


Why Join CodeVyasa?

  • Work on innovative, high-impact projects with a team of top-tier professionals.
  • Continuous learning opportunities and professional growth.
  • Flexible work environment with a supportive company culture.
  • Competitive salary and comprehensive benefits package.
  • Free healthcare coverage.

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