Agentic AI Engineer

Stellar Consulting Solutions, LLC; United States; On-site; USD 150,000 - 210,000; Part time

Job summary

Stellar Consulting Solutions, LLC is seeking a highly skilled Machine Learning Engineer / AI Engineer to design and build production-ready AI applications. This role requires a strong software engineering foundation and hands-on experience with Generative AI technologies.

This 6-month contract emphasizes enterprise AI development, Agentic AI, and end-to-end deployment on Google Cloud, Python, and modern MLOps practices.

Qualifications

• 6–10 years of software or AI engineering experience.
• 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 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.

Skills

GCP

Python

LLMs

Agentic AI

RAG

Vector DBs

BigQuery

PostgreSQL

Docker

Kubernetes

CI/CD

MLOps

Communication

Tools

GKE

Job description

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.