GenAI Engineer

Olive Green Consulting; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Olive Green Consulting is seeking an experienced Generative AI Engineer to design, develop, and deploy AI-powered solutions in Bengaluru. The role emphasizes building LLM-powered apps, RAG pipelines, and scalable backend services.

The ideal candidate will work with Python, Transformers, and ML pipelines, integrating OpenAI/Azure OpenAI, and deploying on AWS/Azure/GCP cloud platforms. Collaboration with cross-functional teams is essential.

Qualifications

• Experience with Generative AI, LLMs, and Transformers.
• Knowledge of building and deploying AI-powered applications.
• Hands-on practice with embeddings, vector databases and RAG pipelines.
• Proficiency in Python and backend services (REST APIs).
• Familiarity with Docker and Kubernetes for scalable deployments.

Responsibilities

• Design, develop, and deploy Generative AI and LLM-powered applications.
• Build and optimize RAG pipelines using embeddings and vector databases.
• Develop AI solutions using LLMs, Transformers, GANs, and VAEs.
• Implement prompt engineering, model fine-tuning, and AI evaluation techniques.
• Develop backend services and REST APIs using Python or .NET.
• Build and maintain AI/ML pipelines including data preprocessing and augmentation.
• Integrate OpenAI, Azure OpenAI, or equivalent LLM services with enterprise apps.
• Deploy and manage scalable AI solutions on cloud platforms.
• Collaborate with cross-functional teams to deliver production-ready AI applications.
• Strong Python programming experience.
• Hands-on experience with Generative AI, LLMs, and Transformers.
• Knowledge of GANs, VAEs, NLP, and Deep Learning.
• Experience with LangChain, RAG, embeddings, and vector databases.
• Hands-on experience with TensorFlow, PyTorch, or Keras.
• Experience with OpenAI / Azure OpenAI or equivalent LLM platforms.
• Knowledge of AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Strong understanding of data preprocessing, model training, fine-tuning, and deployment.

Skills

Generative AI

LLMs

Transformers

RAG pipelines

Embeddings

Vector databases

Prompt engineering

Model fine-tuning

AI evaluation

Python

REST APIs

Docker

Kubernetes

Cloud platforms

LangChain

TensorFlow

PyTorch

Keras

OpenAI / Azure OpenAI

AWS

Azure

GCP

NLP

GANs

VAEs

Tools

Python

REST

Docker

Kubernetes

LangChain

TensorFlow

PyTorch

Keras

OpenAI/Azure OpenAI

AWS

Azure

GCP

Job description

We are looking for an experienced Generative AI Engineer to join our team for an exciting opportunity to build and deploy AI-powered solutions.

• Design, develop, and deploy Generative AI and LLM-powered applications.
• Build and optimize RAG pipelines using embeddings, vector databases, and semantic search.
• Develop AI solutions using LLMs, Transformers, GANs, and VAEs.
• Implement prompt engineering, model fine-tuning, and AI evaluation techniques.
• Develop backend services and REST APIs using Python or .NET.
• Build and maintain AI/ML pipelines, including data preprocessing, augmentation, and synthetic data generation.
• Integrate OpenAI, Azure OpenAI, or equivalent LLM services with enterprise applications.
• Deploy and manage scalable AI solutions using cloud platforms.
• Collaborate with cross-functional teams to deliver production-ready AI applications.
• Strong Python programming experience.
• Hands-on experience with Generative AI, LLMs, and Transformers.
• Knowledge of GANs, VAEs, NLP, and Deep Learning.
• Experience with LangChain, RAG, embeddings, and vector databases.
• Hands-on experience with TensorFlow, PyTorch, or Keras.
• Experience with OpenAI / Azure OpenAI or equivalent LLM platforms.
• Knowledge of AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Strong understanding of data preprocessing, model training, fine-tuning, and deployment.