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

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