Description

Key Qualifications:
Strong understanding of generative AI models, particularly large language models (LLMs)
Experience designing and deploying agentic AI systems end-to-end
Familiarity with Agentic Development and surrounding technologies such as RAG & ClientP
Familiar with AI-native workflow automation through Skills-based systems
Proficiency developing backend or automation services (Python preferred)
Experience integrating tools or databases using REST APIs or webhooks
Familiarity with structured document parsing (Word, PDF, XML, JSON, etc.)
Experience with CI/CD pipelines and automated testing frameworks
Understanding of requirements management and validation workflows

Bonus Qualifications:
Experience with NLP or text-processing automation
Knowledge of Cloud Platforms (AWS, Azure, or GCP)
Experience with Containers and Orchestration (Docker, Kubernetes, etc.)
Strong problem-solving skills with a passion for tackling new challenges

Education and Experience:
M.S. or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience
3–5 years of experience developing automation or integration tools in production environments

Key Skills

Education

Bachelor’s degree