Live opening · Posted 10 days ago

AI Engineer (Up to 20LPA)

CodeRound AI · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 10 days ago
CompanyCodeRound AI
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
Listed10 days ago

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About the role

Description supplied by the original job listing.

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗷𝗼𝗯
This role is for one of our client companies — a VC-backed Business Intelligence startup that has raised $3.35M USD in funding.
𝗦𝗮𝗹𝗮𝗿𝘆: Up to 20LPA
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 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.
🚀 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (1+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲)
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.
🧩 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼
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.
✅ 𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂
Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
1–3 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.
✨ 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀?
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.

Work arrangement
No

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