AI/ML Engineer designing and refining prompts and workflows using large language models. Responsible for developing data pipelines and delivering scalable AI solutions in a hybrid work environment.
Responsibilities
design and refine prompts and agent workflows
evaluate and experiment with different LLMs and model architectures
integrate AI outputs into applications to improve usability
develop data pipelines (including API ingestion and AWS Redshift)
build and deploy inference stacks and managed services
implement API-driven automation and integrations
establish model evaluation practices using human-eval frameworks and both code and NLP metrics
apply RAG, agentic AI, and MCP concepts to deliver scalable, reliable AI solutions
Requirements
Minimum of 3 years of relevant experience
Experience with Prompt Engineering
Understanding of the RAG, Agentic AI and MCP concepts
Experience with API driven automation and integration
Experience with Python programming
High School Diploma or GED required
Benefits
medical, dental, vision healthcare and other insurance benefits (for employee and family)
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