S
Agentic AI Engineer
Stellar Consulting Solutions, LLC
1 hour ago
Full-time
On-site
West Virginia, United States
Job Description
Note: Only on W2
Title: Agentic AI Engineer
Location: Remote (PDT working hours)
Duration: 6-month contract (extension possible)
Job Description:
We are seeking a highly skilled Machine Learning Engineer / AI Engineer to design and build next-generation AI-powered business solutions. This is not a traditional Data Scientist role. The ideal candidate will have a strong Software Engineering foundation combined with hands-on experience developing production-ready AI applications using modern Generative AI and Agentic AI technologies.
Required Qualifications
6–10 years of overall software engineering or AI engineering experience (exceptional candidates with relevant expertise will also be considered).
Strong hands-on experience with Google Cloud Platform (GCP).
Advanced proficiency in Python.
Experience building enterprise AI applications using Large Language Models (LLMs).
Hands-on experience with Agentic AI, AI agents, intelligent automation, or autonomous workflows.
Strong knowledge of Retrieval-Augmented Generation (RAG) architectures.
Experience working with vector databases and memory frameworks.
Experience with BigQuery and relational databases such as PostgreSQL.
Familiarity with AI SDKs and API integration.
Experience with Docker, Google Kubernetes Engine (GKE), and CI/CD pipelines.
Exposure to MLOps concepts and deployment practices.
Strong software engineering fundamentals, problem-solving abilities, and debugging skills.
Excellent communication skills with the ability to explain technical solutions and business impact.
Note: Only on W2
Title: Agentic AI Engineer
Location: Remote (PDT working hours)
Duration: 6-month contract (extension possible)
Job Description:
We are seeking a highly skilled Machine Learning Engineer / AI Engineer to design and build next-generation AI-powered business solutions. This is not a traditional Data Scientist role. The ideal candidate will have a strong Software Engineering foundation combined with hands-on experience developing production-ready AI applications using modern Generative AI and Agentic AI technologies.
Required Qualifications
6–10 years of overall software engineering or AI engineering experience (exceptional candidates with relevant expertise will also be considered).
Strong hands-on experience with Google Cloud Platform (GCP).
Advanced proficiency in Python.
Experience building enterprise AI applications using Large Language Models (LLMs).
Hands-on experience with Agentic AI, AI agents, intelligent automation, or autonomous workflows.
Strong knowledge of Retrieval-Augmented Generation (RAG) architectures.
Experience working with vector databases and memory frameworks.
Experience with BigQuery and relational databases such as PostgreSQL.
Familiarity with AI SDKs and API integration.
Experience with Docker, Google Kubernetes Engine (GKE), and CI/CD pipelines.
Exposure to MLOps concepts and deployment practices.
Strong software engineering fundamentals, problem-solving abilities, and debugging skills.
Excellent communication skills with the ability to explain technical solutions and business impact.