Generative AI Engineer

About the job

Job Title : Generative AI Engineer Python | LLM | LangChain | HuggingFace | AWS/GCP/Azure Experience : 3 to 5 Years (with minimum 2 years in Generative AI / LLM development) Location : Gurgaon working from Office Employment Type : Full-time About Us : We are a fast-growing AI-first company building Generative AI products that solve real-world problems across industries. Our work blends cutting-edge AI research with production-grade software engineering to create scalable, high-performance AI systems. Role Overview : We are seeking a Generative AI Engineer with expertise in Large Language Models (LLMs), transformer architectures, and AI product development. This role demands hands-on skills in fine-tuning models, optimizing inference, and deploying AI solutions on cloud platforms. You will work with OpenAI, Anthropic, Gemini, LLaMA, Mistral and integrate them into production-grade applications. Key Responsibilities : - Build & Deploy : Design, develop, and deploy production-grade Generative AI applications (not just proof-of-concepts). - LLM Integration : Integrate commercial APIs (OpenAI, Anthropic, Gemini) and open-source models (LLaMA, Mistral, Vicuna) using LangChain, LlamaIndex, HuggingFace Transformers. - Fine-tuning : Train and fine-tune LLMs/SLMs using LoRA, QLoRA, SFT and optimize inference using NVIDIA Triton, CUDA, TensorRT. - Vector Search & RAG : Implement semantic search and Retrieval-Augmented Generation (RAG) pipelines using Chroma, Pinecone, FAISS, Weaviate, Qdrant. - Observability & Evaluation : Use tools like LangFuse, PromptLayer, WandB to monitor and evaluate AI system performance. - API Development : Build and integrate robust APIs with FastAPI, Flask and orchestrate agentic workflows. - Cloud & DevOps : Deploy on AWS, GCP, Azure using Docker, Kubernetes, Terraform, GitHub Actions. Required Skills & Qualifications : Experience : 3 to 5 years in software engineering / machine learning with 2+ years in Generative AI. Project Delivery : Must have delivered at least one end-to-end working GenAI product (will be demonstrated during the interview). Technical Skills : - Python (Advanced), LangChain, HuggingFace, LlamaIndex - Transformer architecture, embeddings, tokenization, attention mechanisms - LLM fine-tuning (LoRA, QLoRA, SFT) - Vector databases (Chroma, Pinecone, FAISS, Weaviate) - NVIDIA stack for inference optimization - Cloud & Deployment : AWS SageMaker, GCP Vertex AI, Azure OpenAI, Kubernetes, Docker Mindset : Research-driven, innovation-oriented, and strong problem-solving ability. Preferred / Good to Have - RLHF, DPO, multi-agent AI systems - Multi-modal AI (CLIP, LLaVA, BLIP) - Model quantization (GGUF, GPTQ, AWQ) - Contributions to open-source AI projects Tech Stack Exposure - Languages & Frameworks : Python, LangChain, HuggingFace Transformers, FastAPI, Flask - LLM APIs : OpenAI, Anthropic, Gemini, HuggingFace, LLaMA, Mistral - Fine-tuning Tools : LoRA, QLoRA, SFT, DPO - Vector Databases : Chroma, Pinecone, FAISS, Weaviate, Qdrant - Cloud & Deployment : AWS, GCP, Azure, Docker, Kubernetes, Terraform - Observability : LangFuse, PromptLayer, WandB Why Join Us ? - Opportunity to work on state-of-the-art Generative AI solutions from research to deployment - Collaborate with top AI researchers and engineers - Work on high-impact projects used globally - Flexible work environment and growth-oriented culture.

Requirements

• Generative AI
• LLMs
• Python
• Cloud Deployment
• API Development

Qualifications

• 3 to 5 years in software engineering / machine learning
• Bachelor's or Master's in Computer Science, Engineering, or related field

Preferred Technologies

• Generative AI
• LLMs
• Python
• Cloud Deployment
• API Development

About the company

We are a fast-growing AI-first company building Generative AI products that solve real-world problems across industries. Our work blends cutting-edge AI research with production-grade software engineering to create scalable, high-performance AI systems.