Fine-tune and deploy LLMs (e.g., GPT, LLaMA, Mistral) using frameworks like Hugging Face Transformers and LangChain.
Build and optimize RAG pipelines with vector databases (e.g., Pinecone, FAISS, Weaviate).
Engineer prompts for structured and reliable outputs across diverse use cases such as chatbots, summarization tools, and coding assistants.
Implement scalable inference pipelines; optimize for latency, throughput, and cost using quantization, distillation, and other model optimization techniques.
Collaborate with product, design, and engineering teams to integrate generative AI capabilities into user-facing features.
Monitor and improve model performance, accuracy, safety, and compliance in production.
Ensure responsible AI practices through content filtering, output sanitization, and ethical deployment.

Proficiency in Python and familiarity with modern machine learning tools and libraries.
Hands-on experience with LLM development using Hugging Face Transformers, LangChain, or LlamaIndex.
Experience building and deploying RAG pipelines, including managing embeddings and vector search.
Strong understanding of transformer architectures, tokenization, and prompt engineering techniques.
Comfortable working with LLM APIs (e.g., OpenAI, Anthropic, Cohere) and serving models with FastAPI, Flask, or similar frameworks.
Familiarity with deploying ML systems using Docker, Kubernetes, and cloud services (AWS, GCP, Azure).
Experience with model evaluation, logging, and inference pipeline troubleshooting.

Exposure to multimodal models (e.g., text-to-image, video generation, TTS).
Experience with reinforcement learning from human feedback (RLHF) or alignment techniques.
Familiarity with open-source LLMs (e.g., Mistral, Mixtral, LLaMA, Falcon) and optimization tools (LoRA, quantization, PEFT).
Knowledge of LangChain agents, tool integration, and memory management.
Contributions to open-source GenAI projects, public demos, or blogs in the generative AI space.
Basic proficiency in frontend development (e.g., React, Next.js) for rapid prototyping.

GenAI Engineer