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.

• 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.

• 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.

• 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.

• 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

BACHELOR OF COMPUTER SCIENCE