Agentic AI Engineer — Multi-Agent LLM Architect

Select Minds LLC; Dallas (TX); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Opportunity for advancement

Job summary

Select Minds LLC is seeking an experienced AI Engineer to design and build enterprise-grade AI applications with strong expertise in Agentic AI, LLMs, and orchestration frameworks. The role focuses on multi-agent systems, prompt engineering, and production-grade AI solutions using cloud technologies.

The ideal candidate will have hands-on experience with LangGraph, LangChain, MCP, and modern AI frameworks. This hybrid Dallas-based position emphasizes scalable, secure AI workflows and

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field.
• 5+ years of software engineering experience.
• 2+ years of hands-on experience developing Generative AI or LLM-based applications.
• Strong experience with LangGraph, LangChain, or similar AI orchestration frameworks.
• Experience designing and implementing multi-agent AI systems.
• Experience with Model Context Protocol (MCP) or similar tool integration architectures.
• Strong understanding of LLM architecture, prompt engineering, function calling, tool usage, memory management, and agent orchestration.
• Hands-on experience with Python.
• Experience with TensorFlow, PyTorch, or Scikit-learn.
• Experience building REST APIs and microservices.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Experience deploying AI applications into production environments.
• Strong problem-solving and communication skills.

Responsibilities

• Design, develop, and deploy agent-based AI applications using LangGraph, LangChain, and similar orchestration frameworks.
• Build scalable multi-agent workflows with intelligent task planning, execution, and state management.
• Develop reusable tools, workflows, and orchestration components for enterprise AI applications.
• Design and integrate Model Context Protocol (MCP) clients and tool ecosystems.
• Build conversational AI applications with contextual memory, reasoning, and dynamic tool invocation.
• Develop and integrate REST APIs and external enterprise systems into AI workflows.
• Integrate machine learning models using TensorFlow, PyTorch, or Scikit-learn for inference, prediction, and feedback loops.
• Implement Retrieval-Augmented Generation (RAG), vector search, and knowledge retrieval solutions where applicable.
• Apply LLMOps best practices including prompt engineering, prompt versioning, evaluation, monitoring, logging, observability, and performance optimization.
• Define and execute testing strategies for AI applications, including unit testing, workflow validation, scenario simulation, regression testing, and agent behavior evaluation.
• Optimize AI systems for scalability, reliability, security, and cost efficiency.
• Collaborate with engineering, product, and business teams to deliver enterprise AI solutions.
• Stay current with emerging technologies, frameworks, and best practices in Agentic AI and Generative AI.

Skills

5+ years exp

Generative AI

LangGraph

LangChain

Multi-agent

MCP

LLM architecture

Python

REST APIs

Cloud AWS/Azure/GCP

Production deployments

Prompt engineering

Education

Bachelor’s or Master’s degree in CS/AI/ML/Data Science

Tools

Docker

Kubernetes

CI/CD

Pinecone

Weaviate

Chroma

Milvus

FAISS

Job description

Select Minds LLC is seeking an experienced AI Engineer to design and build enterprise-grade AI applications with strong expertise in Agentic AI, LLMs, and orchestration frameworks. The role focuses on multi-agent systems, prompt engineering, and production-grade AI solutions using cloud technologies.

The ideal candidate will have hands-on experience with LangGraph, LangChain, MCP, and modern AI frameworks. This hybrid Dallas-based position emphasizes scalable, secure AI workflows and