Artificial Intelligence Engineer

Role: AI-Ml Backend Engineer Proven Expertise in Machine Learning, Language Models, and NLP 4+ years applying ML in production with practical depth in NLP, LLM workflows, embeddings, or retrieval augmented systems.Hands on and deep experience with transformer models, embedding based methods, and retrieval augmented techniques, prompt structured or fine tuned LLMs, for reasoning and generation tasks.Ability to turn prototypes into stable engineering solutions that perform consistently in production environments. System Design, Scalability, and Software Engineering Rigor Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow, and API or microservice development.Experience building scalable and reliable ML services with attention to latency, observability, testing, deployment patterns, and runtime durability.Ability to design robust agentic components including control flow, state management, and integrations with retrieval and knowledge systems. Business and Product Acumen Ability to frame technical decisions in terms of customer impact, product value, and measurable improvements to workflow efficiency or answer quality.Strong collaboration skills with cross functional partners to align priorities and drive clear, grounded execution.Comfort operating with ownership and urgency in a fast moving environment focused on delivering meaningful outcomes.