GenAI Engineer

At this time, we are unable to offer visa sponsorship for this position. Candidates must be legally authorized to work for any employer in the United States (or (applicable country) on a full-time basis without the need for current or future immigration sponsorship

RESPONSIBILITIES

• Design, develop, implement, test, and maintain Generative AI models and agentic workflows using GCP Vertex AI, AWS Bedrock, and Snowflake Cortex.
• Build and integrate Retrieval Augmented Generation (RAG) systems, to ground the responses of AI solutions with up-to-date and relevant data.
• Fine-tune and evaluate foundation models using both proprietary and open-source technology.
• Develop agentic architectures using tools like LangGraph, CrewAI, AutoGen, and others to orchestrate multi-step reasoning, planning, and tool use.
• Build and optimize AI agents that can interface with MCP servers, APIs, databases, take contextual actions, and autonomously execute business workflows.
• Collaborate closely with data scientists, data engineers, and stakeholders to understand requirements and deliver AI solutions that meet business needs.
• Implement best practices for model deployment, monitoring, validation, and retraining on GCP Vertex AI, AWS Bedrock, and Snowflake Cortex.
• Work with cross-functional IT and business teams in an Agile environment to deliver successful AI solutions.
• Document processes, models, and configurations for knowledge sharing and compliance.
• Stay current with the latest in generative AI research and translate breakthroughs into applied business solutions

Must Haves :

Bonus Attributes :

Abilities :

Travel Required : 2%

Physical Demands :

Position Type and Expected Hours of Work : Full Time

Disclaimer :

The above statement is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of responsibilities, duties and skills required.