DHI Solutions - Generative AI Engineer - Large Language Models

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 : 35 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)