Generative AI Architect at Corelleaf Design Studio
Charlotte, NC 28277, USA -
Full Time


Start Date

Immediate

Expiry Date

05 Jul, 25

Salary

0.0

Posted On

05 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Communication Skills, Management Skills, Software Development, Javascript, Graph Databases, Semantic Search, Software Development Tools, Python

Industry

Computer Software/Engineering

Description

DESCRIPTION:

We are seeking a dynamic and innovative Generative AI Engineer to join our team, reporting directly to The client’s Chief Product & AI Strategist. This role sits at the intersection of software engineering and artificial intelligence, focusing on building and deploying cutting-edge AI applications that drive business value.

REQUIREMENTS:

5+ years of software development experience with strong proficiency in Python and JavaScript
Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs)
Demonstrated ability to work with LLM APIs (GPT-4, Claude, etc.)
Familiarity the use of agentic software development tools like Cline and Cursor
Strong understanding of prompt engineering and LLM capabilities
A commitment to automated testing and software development best practices
Strong problem solving and project management skills and ability to work with ambiguous requirements
Excellent communication skills to explain AI capabilities and limitations to stakeholders

ADVANCED SKILLS (NICE TO HAVE):

Experience with complex RAG architectures incorporating graph databases
Familiarity with agent orchestration frameworks like LangGraph or CrewAI
Experience with LLM evaluation and monitoring tools like LangSmith
Knowledge of advanced retrieval techniques beyond semantic search

Responsibilities

Design and develop Generative AI applications and features using modern LLM APIs and open-source models
Create and optimize multi-agent systems using frameworks like LangChain and advanced RAG architectures
Build robust systems that combine traditional software engineering with Generative AI capabilities
Implement and maintain AI pipelines using vector databases and retrieval systems
Develop evaluation frameworks to assess Generative AI application performance and reliability
Collaborate with product teams to identify and implement AI-driven solutions

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