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 : 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 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 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 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
(ref:hirist.tech)
