AI Engineer (20LPA - 50LPA)
Job Description
This role is for one of our client companies — a VC-backed startup that has raised $231 million USD in funding.
Salary: 20LPA - 50LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
What we're building
CodeRound AI matches the top 5% tech talent with some of the fastest-growing, VC-backed AI and product startups across Silicon Valley and India.
Top-tier startups across the US, UK, EU, UAE, and India trust CodeRound to hire exceptional software engineers, infrastructure specialists, and AI builders.
We're looking for an AI Engineer to build and deploy production-grade AI/ML solutions that power intelligent product experiences. You'll work across machine learning, GenAI, and backend systems to develop scalable models and bring them into real-world applications.
Key Responsibilities
- Design, build, and deploy machine learning and AI models in production environments.
- Develop scalable training, evaluation, and inference pipelines.
- Collaborate with product and engineering teams to deliver AI-powered features.
- Optimize models for accuracy, performance, and latency.
- Work with large datasets for data preparation, feature engineering, and model development.
- Integrate AI/ML solutions with backend services and APIs.
- Monitor, maintain, and improve production model performance.
- Build and experiment with GenAI and LLM-powered applications.
Must Have
- 3+ years of experience in AI/ML, Data Science, or related fields.
- Strong proficiency in Python.
- Experience with Machine Learning and Deep Learning frameworks.
- Hands-on experience with LLMs and Generative AI applications.
- Understanding of NLP concepts and techniques.
- Experience with MLOps practices and model deployment.
- Familiarity with AWS or other cloud platforms.
- Experience integrating AI solutions with backend systems and APIs.
Good to Have
- Experience building end-to-end GenAI products.
- Knowledge of scalable AI infrastructure and distributed training.
- Exposure to healthcare, SaaS, or consumer technology products.
