Description

You will build and deploy generative AI solutions using large language models and agentic frameworks.

Responsibilities

• Develop and implement GenAI technologies including OpenAI, Claude, and Gemini.
• Build agentic workflows and integrate vector databases into production environments.
• Apply prompt engineering and fine-tuning techniques to optimize model performance.
• Manage large-scale datasets to generate intelligence and actionable insights.
• Engineer cloud-native microservices using FaaS and PaaS on Azure, AWS, or GCP.

Required Skills

• 8+ years of experience in AI/ML, with at least 2 years focused on GenAI.
• Proficiency in Python, R, TensorFlow, PyTorch, Keras, and Julia.
• Deep understanding of NLP, data structures, and algorithms.
• Experience with LangChain, agents, and vector databases.
• Strong software engineering foundation in OOP/OOD and system design diagrams.
• Full-stack capability with Angular, React, NodeJS, Streamlit, C#, .NET Core, or Golang.
• Database management skills covering SQL and NoSQL.
• Experience with DevSecOps, SRE, GitHub, and SonarQube.
• Bachelor’s degree in Computer Science, Software Engineering, or a related discipline.

Preferred Skills

• Advanced degree in a technical field.

Key Skills

Education

Bachelor's degree