AI/ML Engineer ($15K- 20K)

3 years

0 Lacs

Posted:19 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

What We’re Building


CodeRound AI helps VC-funded startups hire the top 5% tech talent faster than traditional hiring.

Candidates apply once and get up to 20 interview opportunities with tech companies across the US, UAE & India — both remote & onsite.

We’re already supporting AI startups, product companies & global engineering teams by scaling their backend, AI, and DevOps teams rapidly.

AI/ML Engineer (1–3 YOE)


AI/ML Engineer (1–3 Years Experience | Remote)

What You’ll Do


  • Work with the Engineering Lead to own AI/ML capabilities from conception to deployment
  • Contribute to the development and improvement of AI agents, ensuring accuracy and reliability
  • Build, fine-tune, and maintain ML models using agent orchestration frameworks
  • Support integration of AI components with backend systems and other product features
  • Maintain and improve data pipelines for training, evaluation, and model deployment
  • Optimize prompts, run experiments, and iterate on models to improve behavior and efficiency
  • Troubleshoot and debug model performance, data quality, and integration issues
  • Collaborate cross-functionally with product, design, and engineering teams
  • Stay updated on AI tools, libraries, and emerging techniques to bring new ideas to the team


Why This Role is Exciting


  • Work on real AI products — not just experiments or POCs
  • High ownership and direct impact on the user experience
  • Ship features and updates regularly, getting real-world feedback
  • Fully remote, fast-paced, and supportive environment
  • Opportunity to grow into Senior AI/ML Engineer or Technical Lead roles


You’ll Be Great at This If You:


  • Have 1–3 years of experience in AI/ML or related fields
  • Are comfortable building and deploying ML models in production
  • Know Python and frameworks like PyTorch, TensorFlow, or Hugging Face
  • Have experience with LLMs, prompt optimization, or fine-tuning models
  • Understand data pipelines, preprocessing, and evaluation metrics
  • Can work independently and take ownership of tasks end-to-end
  • Have a product mindset — thinking about user impact, not just models


Bonus Points If You:

  • Worked with agent orchestration frameworks or AI pipelines
  • Have experience integrating AI features into web or backend systems
  • Are familiar with vector databases, RAG systems, or LangChain
  • Contributed to open-source AI projects, research papers, or GitHub repos
  • Love experimenting and building fast prototypes


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