"Gen AI Engineer"

Gen AI Engineer – General Job Description

Job Summary :

We are looking for a highly skilled Generative AI Engineer to design, build, and optimize AI-driven solutions using LLMs, multimodal models, and modern AI frameworks. The ideal candidate will have strong experience in prompt engineering, model fine-tuning, and deploying AI applications that solve real business problems.

Key Responsibilities :

Develop and implement LLM-based applications using models like GPT, Llama, Claude, etc.

Design, test, and optimize prompts , retrieval workflows (RAG), and agent-based automation.

Perform fine-tuning and model customization using proprietary or open-source datasets.

Build AI pipelines integrating NLP, computer vision, or speech models where required.

Collaborate with data engineers to prepare high-quality datasets for training and evaluation.

Deploy AI models using cloud platforms (Azure / AWS / GCP) and containerization (Docker / Kubernetes).

Monitor system performance, evaluate model accuracy, and implement continuous improvements.

Ensure data privacy, security, and compliance when working with sensitive information.

Document system designs, workflows, experimentation logs, and best practices.

Must-Have Skills :

Strong hands-on experience with LLMs (OpenAI, Azure OpenAI, Meta Llama, Mistral, etc.)

Expertise in Python , NLP libraries (Transformers, LangChain, HuggingFace, etc.)

Knowledge of RAG pipelines , embeddings, vector databases (Pinecone, FAISS, Chroma).

Experience with API integrations , microservices, and building AI applications.

Understanding of ML concepts : tokenization, model architectures, prompt optimization, evaluation metrics.

Familiarity with MLOps tools (MLflow, Weights & Biases, Airflow, etc.)

Interested candidates, please share your resume at