Artificial Intelligence Engineer

Budventure Technologies Pvt. Ltd.; Ahmedabad District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Budventure Technologies Pvt. Ltd. is seeking an AI Engineer to design, develop, and deploy NLP/LLM solutions.

You will fine-tune models, build RAG systems with vector databases, and integrate AI capabilities into business applications on cloud platforms. You will work with Python, PyTorch or TensorFlow, Docker and Kubernetes, and collaborate with cross‑functional teams to deliver scalable, multilingual AI solutions, including Indic languages.

Qualifications

• 2–4 years of proven experience in AI/ML development, specifically in NLP and LLMs.
• Proficiency in Python with PyTorch and/or TensorFlow.
• Strong cloud deployment experience (AWS, Azure, or GCP).
• Experience in containerization & orchestration (Docker, Kubernetes).
• Familiarity with multi-language NLP, especially Indic languages.
• Knowledge of medical AI models is a plus.

Responsibilities

• Design, develop and optimize AI/ML models with a focus on NLP and LLM applications.
• Fine-tune LLMs and implement effective prompt engineering.
• Build and deploy RAG systems using vector databases and related tooling.
• Collaborate with cross-functional teams to integrate AI models into business apps.
• Deploy and manage AI workloads on cloud platforms (AWS/Azure/GCP).
• Utilize Docker and Kubernetes for containerized deployment.

Skills

NLP & LLM

Fine-tuning LLMs

RAG systems

LangChain / Transformers

Cloud deployment

Docker & Kubernetes

Multilingual NLP

Education

Bachelor’s or Master’s in CS/AI/DS

Tools

Python

PyTorch

TensorFlow

Docker

Kubernetes

AWS/GCP/Azure

LangChain / LlamaIndex

Pinecone/Weaviate/FAISS/Milvus

Job description

We are seeking a highly skilled AI Engineer with strong expertise in building, fine-tuning, and deploying advanced AI/ML solutions. The ideal candidate will have hands‑on experience with LLMs, NLP, and RAG systems, and a proven track record of implementing scalable AI applications on cloud platforms.

Key Skills:

• Design, develop, and optimize AI/ML models with a primary focus on NLP and LLM applications.
• Fine‑tune large language models (LLMs) and design effective prompt engineering strategies.
• Build and deploy Retrieval‑Augmented Generation (RAG) systems using vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus).
• Leverage frameworks such as Hugging Face Transformers, LangChain, and LlamaIndex for advanced AI solutions.
• Collaborate with cross‑functional teams to integrate AI models into business applications.
• Deploy and manage AI workloads efficiently on AWS, Azure, or GCP.
• Utilize Docker and Kubernetes for containerized deployment of AI services.
• Explore and implement AI models for multilingual NLP, with an emphasis on Indic languages.
• (Preferred) Apply AI techniques in healthcare and medical domains for domain‑specific solutions.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
• 2–4 years of proven experience in AI/ML development, specifically in NLP and LLMs.
• LLM fine‑tuning & prompt engineering
• Proficiency in Python, with experience in PyTorch and/or TensorFlow.
• Strong background in cloud‑based AI deployment (AWS, Azure, GCP).
• Experience in containerization & orchestration tools (Docker, Kubernetes).
• Familiarity with multi‑language NLP, with exposure to Indic languages preferred.
• Knowledge of medical AI models will be considered an added advantage.