V
AI Engineer III
Vaco Recruiter Services
2 hours ago
Full-time
On-site
San Antonio, Texas, United States
AI Engineer III
Position Overview
We’re looking for a highly technical, hands-on
AI Engineer
to help design, build, and deploy the next generation of AI-powered applications.
This is not a role for someone whose AI experience stops at basic LLM integrations or RAG implementations. We’re looking for a strong
software engineer first
who has evolved into AI engineering and has real experience developing
Agentic AI solutions .
The environment is highly hands-on. You’ll have the opportunity to work across application development, AI architecture, cloud infrastructure, deployment, networking, and production support. The team is actively building several new AI solutions with additional development planned over the next 12 months.
What You’ll Be Doing
Design, develop, and deploy production‑grade Agentic AI applications
Build agent‑based and multi‑agent workflows that interact with enterprise applications and data
Develop AI solutions using LLMs, RAG, embeddings, vector databases, and modern AI frameworks
Build and integrate APIs, services, tools, and enterprise applications
Take applications from development and UAT through production deployment
Work across the full software development lifecycle
Support cloud infrastructure, servers, networking, and application environments as needed
Build scalable, secure, and reliable AI services
Work with DevOps and CI/CD processes to automate application deployment
Troubleshoot complex application and infrastructure issues
Participate in technical architecture and engineering decisions
Support security, governance, and audit requirements
Mentor other engineers and provide technical direction while remaining hands‑on
Help establish engineering standards and best practices as the AI environment continues to grow
Must-Have Experience
Strong
full‑stack software development background
Broad software engineering and IT experience beyond AI alone
Hands‑on
Agentic AI development experience
Deep understanding of AI agents, orchestration, tool use, and multi‑agent workflows
Experience with
LangGraph, LangChain, or similar agentic frameworks
Strong experience integrating
LLMs into production applications
Experience with
RAG, embeddings, and vector databases
Experience developing APIs and integrating multiple systems
Strong programming background with languages such as
Python, Java, C#, and/or JavaScript
Experience with cloud environments such as
AWS or Azure
Understanding of containers, microservices, CI/CD, and modern DevOps practices
Ability to take an application from development through production
Comfortable working across multiple areas of the technology stack rather than operating within a narrow specialty
What Will Separate the Best Candidates The strongest candidates will be able to clearly explain:
What they built
before moving into AI
Production applications they personally designed and developed
Agentic AI systems they have built hands‑on
How their agents reason, use tools, interact with data, and communicate with other systems
How they moved AI applications from development into production
Technical challenges they personally solved rather than projects where they were simply part of the team
RAG experience by itself is not enough for this position.
We’re specifically looking for engineers with deeper Agentic AI development experience.
#J-18808-Ljbffr
AI Engineer
to help design, build, and deploy the next generation of AI-powered applications.
This is not a role for someone whose AI experience stops at basic LLM integrations or RAG implementations. We’re looking for a strong
software engineer first
who has evolved into AI engineering and has real experience developing
Agentic AI solutions .
The environment is highly hands-on. You’ll have the opportunity to work across application development, AI architecture, cloud infrastructure, deployment, networking, and production support. The team is actively building several new AI solutions with additional development planned over the next 12 months.
What You’ll Be Doing
Design, develop, and deploy production‑grade Agentic AI applications
Build agent‑based and multi‑agent workflows that interact with enterprise applications and data
Develop AI solutions using LLMs, RAG, embeddings, vector databases, and modern AI frameworks
Build and integrate APIs, services, tools, and enterprise applications
Take applications from development and UAT through production deployment
Work across the full software development lifecycle
Support cloud infrastructure, servers, networking, and application environments as needed
Build scalable, secure, and reliable AI services
Work with DevOps and CI/CD processes to automate application deployment
Troubleshoot complex application and infrastructure issues
Participate in technical architecture and engineering decisions
Support security, governance, and audit requirements
Mentor other engineers and provide technical direction while remaining hands‑on
Help establish engineering standards and best practices as the AI environment continues to grow
Must-Have Experience
Strong
full‑stack software development background
Broad software engineering and IT experience beyond AI alone
Hands‑on
Agentic AI development experience
Deep understanding of AI agents, orchestration, tool use, and multi‑agent workflows
Experience with
LangGraph, LangChain, or similar agentic frameworks
Strong experience integrating
LLMs into production applications
Experience with
RAG, embeddings, and vector databases
Experience developing APIs and integrating multiple systems
Strong programming background with languages such as
Python, Java, C#, and/or JavaScript
Experience with cloud environments such as
AWS or Azure
Understanding of containers, microservices, CI/CD, and modern DevOps practices
Ability to take an application from development through production
Comfortable working across multiple areas of the technology stack rather than operating within a narrow specialty
What Will Separate the Best Candidates The strongest candidates will be able to clearly explain:
What they built
before moving into AI
Production applications they personally designed and developed
Agentic AI systems they have built hands‑on
How their agents reason, use tools, interact with data, and communicate with other systems
How they moved AI applications from development into production
Technical challenges they personally solved rather than projects where they were simply part of the team
RAG experience by itself is not enough for this position.
We’re specifically looking for engineers with deeper Agentic AI development experience.
#J-18808-Ljbffr