Agentic AI Engineer

Stellar Consulting Solutions, LLC; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Stellar Consulting Solutions, LLC seeks a skilled Machine Learning Engineer / AI Engineer to design and build AI-powered business solutions. This role emphasizes production-ready AI applications using Generative AI and Agentic AI technologies, with strong software engineering foundations.

The ideal candidate will have extensive experience with GCP, Python, LLMs, RAG architectures, and CI/CD pipelines, capable of delivering scalable AI systems and effective technical communication across business

Qualifications

• 6–10 years of overall software engineering 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 relational databases such 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

Responsibilities

• Design and build next-generation AI-powered business solutions
• Develop production-ready AI applications using Generative AI and Agentic AI technologies
• Collaborate across teams to deploy AI solutions
• Ensure scalable, reliable and secure AI deployments
• Explain technical solutions and their business impact to stakeholders

Skills

GCP experience

Python proficiency

LLMs deployment

Agentic AI

RAG architectures

Vector databases

Memory frameworks

PostgreSQL knowledge

BigQuery experience

AI SDKs & API integration

Docker

GKE

CI/CD pipelines

MLOps concepts

Debugging skills

Communication skills

Tools

Docker

Google Kubernetes Engine (GKE)

BigQuery

PostgreSQL

CI/CD pipelines

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 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.