Senior AI/ML Engineer

Skills

• Experience with AI/ML Large Language Models (LLMs) such as OpenAI, Gemini, Llama, and Mistral
• Expertise in RAG (Retrieval-Augmented Generation) pipelines
• Prompt engineering skills
• Knowledge of evaluation tools like LangSmith, W&B, and Arize

Technologies

• Backend development in Python (primary) and Java
• Development of REST and GraphQL APIs
• Work with cloud services on AWS including EC2, Lambda, and Kubernetes

Tools and Platforms

• Data vector databases such as Milvus
• ETL (Extract, Transform, Load) pipelines
• Monitoring tools like Dynatrace (including Grail and Davis AI)
• Use of CloudWatch for automation

Automation

• Automation scripts written in Python, Bash, and Ansible