Generative AI Engineer

Job description

Role

: Generative AI Engineer

Location

• Bangalore

Experience

Notice Period : Immediate joiner

Core Responsibilities :

Collaborate with cross-functional teams to translate complex AI concepts into practical business solutions.

Design systems around open source, enterprise models like Llama, Gemini, GPT to solve innovative problems.

Build robust evaluation pipelines to assess model performance, safety, and alignment with business objectives.

Optimize model latency and performance for real-time applications and large-scale deployment

Architect scalable ML infrastructure for training, inference, and model serving

Fine-tune Large Language Models (LLMs) and other transformer-based architectures

Ability to explain complex AI concepts to technical and non-technical stakeholders

What We're Looking For

Experience Requirements :

6+ years of overall data science or ML experience.

1.5+ years of hands-on experience with generative AI and large language models.

Advanced degree in Computer Science, Machine Learning, or related field.

Experience in taking ML / DL model to production.

️ Technical Expertise :

Python, C++ or any other high-level language.

PyTorch and TensorFlow.

Experience with Hugging Face Transformers, LangChain, LlamaIndex,

Pydantic AI

Deep Learning fundamentals : neural networks, backpropagation, optimization

Generative AI frameworks : OpenAI API, Anthropic Claude, Google Gemini,

local LLM deployment

Model architectures : Transformers, attention mechanisms, encoder-decoder models

Fine-tuning techniques : LoRA, QLoRA, full parameter fine-tuning, RLHF

Design and implement comprehensive evaluation pipelines

A / B testing for AI systems and statistical significance testing

Latency optimization techniques : model quantization, pruning, distillation

Experience with MLOps tools : MLflow, Weights & Biases, DVC

Technical skill :

Python, C++, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Pydantic AI, Deep Learning, Neural Networks, Optimization, OpenAI API, Claude, Gemini, LLM Deployment, Transformers, Encoder-Decoder, LoRA, QLoRA, RLHF, A / B Testing, Quantization, Pruning, Distillation, MLflow, Weights & Biases, DVC.