GEN AI Engineer

Vbeyond Corporation; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Vbeyond Corporation in Bengaluru seeks an experienced ML/AI specialist to design and deploy end-to-end AI solutions using Python, TensorFlow/PyTorch, and GenAI tooling.

You will work on agentic AI, RAG pipelines, vector databases, and MLOps workflows across cloud platforms, delivering robust, scalable systems.

Qualifications

• Strong experience in Python and ML frameworks (TensorFlow/PyTorch, Scikit-learn).
• Hands-on with LLMs and GenAI frameworks (LangChain, LlamaIndex, OpenAI, Hugging Face).
• Experience with agentic AI/autonomous agents/multi-agent systems.
• Solid understanding of RAG, embeddings, and vector databases (FAISS, Pinecone).
• Experience with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
• Exposure to cloud platforms (AWS, Azure, or GCP).
• Strong problem-solving and system design skills.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

LangChain

LlamaIndex

OpenAI

Hugging Face

Agentic AI

RAG

Embeddings

Vector databases

MLflow

Kubeflow

Airflow

Docker

Kubernetes

AWS

Azure

GCP

System design

Problem solving

Tools

LangChain

LlamaIndex

OpenAI

Hugging Face

FAISS

Pinecone

MLflow

Kubeflow

Airflow

Docker

Kubernetes

AWS

Azure

GCP

Job description

Role & responsibilities

Required Skills:

• Strong experience in Python, ML frameworks (TensorFlow/PyTorch, Scikit-learn)
• Hands-on with LLMs, GenAI frameworks (LangChain, LlamaIndex, OpenAI, Hugging Face)
• Experience in Agentic AI / autonomous agents / multi-agent systems
• Solid understanding of RAG, embeddings, vector databases (FAISS, Pinecone, etc.)
• Experience in MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes)
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Strong problem-solving and system design skills