GEN AI Engineer

Job Description

We are seeking seasoned GenAI Engineers with 5+ years of experience to design, deploy, and scale AI solutions. Candidates must be proficient in Python , with hands-on expertise in LLMs , RAG (Retrieval-Augmented Generation) , and frameworks like LangChain and Hugging Face . Experience working with Agentic AI or agent-based orchestration systems is highly desirable. Strong understanding of Computer Vision , including model development using OpenCV, YOLO, or similar libraries. Expertise in data manipulation libraries such as Pandas and NumPy is essential. Solid experience in FastAPI for building scalable APIs. Must have a good grasp of MLOps and ML Engineering , including model lifecycle management. Proven experience with DevOps tools like Docker, Kubernetes, Jenkins, and Terraform. Experience with CI/CD pipelines , automated testing, and Git version control is required. Ability to deploy AI models across cloud environments (AWS/GCP/Azure). Knowledge of transformer models, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Hands-on experience with fine-tuning and optimizing large language models. Ability to work cross-functionally with data scientists, product managers, and software engineers. Strong communication skills with a problem-solving mindset. A passion for staying ahead in the rapidly evolving GenAI landscape.