AI Engineer

As a Generative AI Engineer with expertise in FastAPI development, your role will involve designing, building, and deploying scalable backend systems to power next-generation generative AI applications. You will collaborate with data scientists, ML engineers, and product teams to deliver innovative AI-driven solutions at scale. Key Responsibilities: - Design, develop, and maintain high-performance backend systems using Python and FastAPI. - Build and expose secure, scalable RESTful APIs for AI-powered services. - Implement prompt engineering, RAG, and embedding techniques to enhance model performance. - Integrate and manage vector databases (e.g., Pinecone, ChromaDB) for efficient AI data retrieval. - Collaborate with cross-functional teams to prototype, test, and deploy AI-driven solutions. - Develop and maintain CI/CD pipelines for model and API deployment. - Monitor, troubleshoot, and optimize backend & AI systems for performance and scalability. - Stay updated with advancements in Generative AI, LLMs, and backend technologies. - Document APIs, workflows, and system architecture for knowledge sharing. Required Skills & Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or related field. - 5+ years of backend development experience with Python & FastAPI. - Proven experience in deploying Generative AI models (LLMs, GANs, VAEs) in production. - Strong understanding of prompt engineering, embeddings, and RAG pipelines. - Experience integrating AI models with RESTful APIs (authentication & authorization). - Hands-on experience with Docker, Kubernetes, and containerized deployments. - Familiarity with SQL & NoSQL databases (PostgreSQL, MongoDB). - Cloud experience (AWS, Azure, or GCP) for large-scale AI deployments. - Excellent problem-solving, teamwork, and communication skills.,