Description

Build and deploy scalable AI and GenAI solutions, including LLM-based applications and intelligent agents.

This role is on-site.

Responsibilities

• Develop machine learning and LLM-based solutions such as RAG, copilots, and intelligent agents.
• Productionize models by building scalable APIs, microservices, and CI/CD pipelines with monitoring and logging.
• Design data pipelines and integrate AI models into cloud platforms and enterprise business applications.
• Ensure responsible AI governance, compliance, and ethical standards while supporting model transparency and risk mitigation.
• Partner with product owners, architects, and data engineering teams to deliver use cases and define engineering standards.

Required Skills

• 4+ years of experience in AI/ML Engineering or Software Engineering.
• Strong programming skills in Python.
• Hands-on experience with ML frameworks: PyTorch, TensorFlow, Scikit-learn.
• Experience with LLMs and GenAI tools: Azure OpenAI, LangChain, and RAG patterns.
• Proven track record building APIs, microservices, and production ML pipelines.
• Exposure to cloud platforms (Azure preferred) and data pipeline development.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Experience with responsible AI frameworks and governance standards.
• Background in data ingestion and transformation within enterprise environments.

Key Skills

Education

Bachelor's or Master's degrees