AI Platform Engineer

Position: AI ML engineer with Agentic AI experience Location: Remote Job Profile: An expert Prompt engineer with a strong software engineering a background and an excellent communicator with 8+ years of experience implementing AI and ML use cases. (Primarily AI) Knowledge of Computer vision related projects. LLM Expertise: Must have hands-on experience working with modern LLMs (OpenAI, Anthropic, LLaMA, Mistral, Gemini),as well as a strong understanding of tokenization, model behaviors, reasoning patterns, and evaluation frameworks. Prompt Design & Optimization (zero-shot, few-shot, chain-of-thought, ReAct, self-consistency) Structured prompt templates Refinement (prompt chaining, decomposition, and verification strategies) Safety, Guardrails & Compliance Experience building conversational flows (chatbots). Retrieval-Augmented Generation (RAG) : Work with embedding models, vector databases, context windows, and chunking strategies Work experience in Vector database (FAISS, Milvus

Do you have experience in YAML?, Pinecone or any) Machine Learning: Machine Learning Engineer with strong experience in building, deploying, and optimizing end-to-end ML systems. Skilled in data preprocessing, feature engineering, model development, and production deployment using modern ML frameworks. Proficient in Python, PyTorch/ TensorFlow, cloud services, and MLOps practices. Software Engineering: Python proficiency. Very good understanding and work experience with REST APIs, JSON, YAML. Ability to integrate LLM prompts into production applications. Familiarity with Git, version control, and experiment tracking.