AI/ML Developer

Education, Experience, & Skills Required:

• 2-7 years of experience in a software engineering role, with exposure to AI/ML concepts.
• Familiarity with working in an Agile environment preferred.
• Bachelors Degree or equivalent in Computer Science, Engineering, or a related field.
• Software engineering experience, with exposure to AI model integration and generative AI frameworks.
• Knowledge of modern programming language such as: Python - preferred for AI applications
• Familiarity with Unix/Linux, Big Data, SQL, NoSQL, and modern data storage technologies.
• Experience with AI APIs and frameworks such as OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, ChromaDB).
• Exposure to object-oriented programming, RESTful APIs, distributed computing, WebU, and modern JavaScript frameworks.
• Understanding of GenAI model deployment in cloud environments (AWS or Azure).
• Familiarity with AI model evaluation techniques, including embeddings, retrieval-augmented generation (RAG), and prompt engineering.

Behaviors & Abilities Required:

• Ability to learn and adapt in a fast-paced environment, particularly in AI and GenAI integration.
• Ability to write performant, scalable, and maintainable code for AI-powered applications.
• Critical thinking skills to assess AI-generated outputs and improve model reliability.
• Problem-solving mindset to identify alternative methods of solving software engineering and AI-related challenges.
• Proven track record of delivering AI-integrated features while following best practices in software development.
• Ability to collaborate on AI-driven solutions, working with cross-functional teams, data scientists, and software engineers.
• Curiosity and willingness to explore new AI models, tools, and frameworks for enhancing software applications with GenAI capabilities.