AI Engineer l (Generative AI)

Design, build, and deploy Generative AI applications including chat systems, AI agents, automated workflows, and intelligent content pipelines. Develop and maintain RAG architectures using vector stores (e.g., Pinecone, FAISS, Weaviate). Fine-tune and evaluate large language models (GPT, LLaMA, Gemini, and similar architectures). Implement prompt engineering strategies, templates, and reusable frameworks to improve reliability and output quality. Create reusable AI skills, system rules, guardrails, and workflow instructions to standardize AI behavior across internal and client-facing systems. Build end-to-end production-ready AI pipelines covering data ingestion, preprocessing, training, evaluation, and continuous monitoring. Develop internal tools/frameworks to accelerate model experimentation, evaluation, and deployment. Integrate AI solutions into MyAdvice systems via REST APIs, microservices, or middleware. Collaborate with engineering, product, and client success teams to identify automation opportunities and AI-powered enhancements. Apply software engineering best practices including version control, CI/CD, and automated testing for ML systems. Stay current with advances in AI/LLMs/multimodal models, embeddings, and MLOps technologies; propose improvements. Provide technical guidance, documentation, and knowledge sharing related to Generative AI frameworks and production workflows.