Description

Design and implement generative AI solutions and machine learning models to drive intelligence from complex datasets.

This role is hybrid.

Responsibilities

• Build and deploy generative AI applications using LLMs, agents, and vector databases.
• Develop machine learning models using TensorFlow and PyTorch.
• Manage large-scale datasets to generate actionable insights and intelligence.
• Implement cloud-native microservices and FaaS/PaaS architectures on Azure, AWS, or GCP.
• Apply software engineering fundamentals including OOP/OOD and data structures to production code.

Required Skills

• 8+ years of professional experience in software engineering and AI/ML.
• 2+ years of focused experience with GenAI technologies including OpenAI, Claude, Gemini, and LangChain.
• Proficiency in Python, R, TensorFlow, PyTorch, Keras, and Julia.
• Hands-on experience with NLP, prompt engineering, fine-tuning, and vector databases.
• Experience with Angular, React, NodeJS, Streamlit, C#, .NET Core, or Go.
• Strong knowledge of SQL/NoSQL and big data management.
• Experience with cloud-native engineering and microservices.
• Familiarity with DevSecOps, SRE, GitHub, and ADO.
• Bachelor’s degree in Computer Science, Software Engineering, or a related discipline.

Preferred Skills

• Advanced degree in a technical discipline.

Key Skills

Education

Bachelor's degree