AI Developer

Job Description Must Have Technical/Functional Skills Experienced in and strong knowledge of using Gen AI, AI/ML and more particularly LLMs eager to apply this rapidly changing Technology Strong knowledge with RAG (Retrieval-Augmented Generation), Prompt Engineering, Agentic AI Knowledge of advanced statistical/machine learning techniques, Algorithms, Concepts and Experience in the Applications Experience with CI/CD and MLOps tools/frameworks (e.g. MLflow and W&B) Strong Distributed Systems Skills and Knowledge Knowledge of other modern, functional languages e.g. Scala, Clojure, Rust, Elixir Solid understanding of REST-ful Design Experience with Kubernetes Design, develop, and deploy Generative AI and Large Language Model (LLM) solutions to solve complex business problems. Lead implementation of advanced GenAI patterns, including Retrieval Augmented Generation (RAG), prompt engineering, and agentic AI workflows. Continuously evaluate and apply emerging AI/ML technologies, frameworks, and research to improve model quality, performance, and scalability. Translate business requirements into AI driven solutions with measurable outcomes. Roles & Responsibilities Design, develop, and deploy Generative AI and Large Language Model (LLM) solutions to solve complex business problems. Lead implementation of advanced GenAI patterns, including Retrieval Augmented Generation (RAG), prompt engineering, and agentic AI workflows. Continuously evaluate and apply emerging AI/ML technologies, frameworks, and research to improve model quality, performance, and scalability. Translate business requirements into AI driven solutions with measurable outcomes. Generative AI & Machine Learning Leadership Build, train, tune, and deploy machine learning models, including: Neural Networks Decision Trees SVMs NLP models Reinforcement Learning systems Ensemble techniques Apply advanced statistical and ML algorithms to real world data for prediction, classification, and optimization problems. Ensure model robustness, explainability, and performance across production environments. Machine Learning & Advanced Analytics Build, train, tune, and deploy machine learning models, including: Neural Networks Decision Trees SVMs NLP models Reinforcement Learning systems Ensemble techniques Apply advanced statistical and ML algorithms to real world data for prediction, classification, and optimization problems. Ensure model robustness, explainability, and performance across production environments. Software Engineering & Development Develop high quality, scalable solutions using Python, with strong use of Java, SQL, Bash, and JavaScript (D3.js) as required. Design and implement RESTful APIs and microservices to expose AI/ML capabilities. Follow software engineering best practices including clean code, testing, and documentation. Salary Range: $100,000 to $130,000 per year Qualifications

BACHELOR OF COMPUTER SCIENCE