Verified Job
Engineering - Architecture
AI Engineer (Up to 20LPA)
Engineering - Architecture
#817168
Remote / WFH
CodeRound AI
Job Description
๐๐ฏ๐ผ๐๐ ๐๐ต๐ฒ ๐ท๐ผ๐ฏ
This role is for one of our client companies โ a VC-backed Business Intelligence startup that has raised $3.35M USD in funding.
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐: Up to 20LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
๐ ๐ช๐ต๐ฎ๐ ๐ช๐ฒ'๐ฟ๐ฒ ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด
CodeRound AI matches the top 5% tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.
Top-tier product startups across the US, UK, EU, UAE, and India have hired top engineers through CodeRound.
๐ ๐๐ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ (1+ ๐ฌ๐ฒ๐ฎ๐ฟ๐ ๐ผ๐ณ ๐๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ)
We are looking for an innovative AI Engineer to build cutting-edge solutions using Generative AI and LLMs. Help us transform complex data into intelligent, real-world products.
๐งฉ ๐ช๐ต๐ฎ๐ ๐ฌ๐ผ๐'๐น๐น ๐๐ผ
Design and implement AI-driven solutions across domains such as LLMs, Generative AI, NLP, and Computer Vision.
Research, prototype, and evaluate state-of-the-art AI models and architectures for real-world applications.
Build retrieval-augmented generation (RAG) pipelines and integrate AI models into customer-facing products.
Work with engineers and product teams to embed AI capabilities into platforms and workflows.
Optimize AI models for accuracy, scalability, and efficiency in production.
Stay up to date with advancements in Generative AI, foundation models, and applied AI frameworks.
โ ๐ฌ๐ผ๐'๐ฟ๐ฒ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐ ๐๐ณ ๐ฌ๐ผ๐
Bachelorโs/Masterโs degree in Computer Science, Artificial Intelligence, Data Science, or related field.
1โ3 years of experience in building and deploying AI applications.
Strong proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, Scikit-learn.
Hands-on experience with LLMs, embeddings, prompt engineering, or fine-tuning foundation models.
Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.
Understanding of vector databases (Pinecone, Qdrant, Weaviate, FAISS) is desirable.
โจ ๐ช๐ต๐ ๐๐ผ๐ถ๐ป ๐จ๐?
Take full ownership of building core product features from the ground up.
Make a direct impact as an early member of our startup team.
Accelerate your professional growth in a fast-paced and high-stakes environment.
Collaborate with world-class peers who challenge you to do your best.
This role is for one of our client companies โ a VC-backed Business Intelligence startup that has raised $3.35M USD in funding.
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐: Up to 20LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
๐ ๐ช๐ต๐ฎ๐ ๐ช๐ฒ'๐ฟ๐ฒ ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด
CodeRound AI matches the top 5% tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.
Top-tier product startups across the US, UK, EU, UAE, and India have hired top engineers through CodeRound.
๐ ๐๐ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ (1+ ๐ฌ๐ฒ๐ฎ๐ฟ๐ ๐ผ๐ณ ๐๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ)
We are looking for an innovative AI Engineer to build cutting-edge solutions using Generative AI and LLMs. Help us transform complex data into intelligent, real-world products.
๐งฉ ๐ช๐ต๐ฎ๐ ๐ฌ๐ผ๐'๐น๐น ๐๐ผ
Design and implement AI-driven solutions across domains such as LLMs, Generative AI, NLP, and Computer Vision.
Research, prototype, and evaluate state-of-the-art AI models and architectures for real-world applications.
Build retrieval-augmented generation (RAG) pipelines and integrate AI models into customer-facing products.
Work with engineers and product teams to embed AI capabilities into platforms and workflows.
Optimize AI models for accuracy, scalability, and efficiency in production.
Stay up to date with advancements in Generative AI, foundation models, and applied AI frameworks.
โ ๐ฌ๐ผ๐'๐ฟ๐ฒ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐ ๐๐ณ ๐ฌ๐ผ๐
Bachelorโs/Masterโs degree in Computer Science, Artificial Intelligence, Data Science, or related field.
1โ3 years of experience in building and deploying AI applications.
Strong proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, Scikit-learn.
Hands-on experience with LLMs, embeddings, prompt engineering, or fine-tuning foundation models.
Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.
Understanding of vector databases (Pinecone, Qdrant, Weaviate, FAISS) is desirable.
โจ ๐ช๐ต๐ ๐๐ผ๐ถ๐ป ๐จ๐?
Take full ownership of building core product features from the ground up.
Make a direct impact as an early member of our startup team.
Accelerate your professional growth in a fast-paced and high-stakes environment.
Collaborate with world-class peers who challenge you to do your best.
