Agentic AI Engineer at Select Minds LLC in TX-Dallas-75235

Job description

• We are seeking an experienced AI Engineer with strong expertise in Agentic AI, Large Language Models (LLMs), and AI orchestration frameworks to design and develop enterprise-grade AI applications.
• The ideal candidate will have hands-on experience building multi-agent systems, conversational AI solutions, and production-ready LLM applications using modern AI frameworks and cloud technologies.
• This role requires a strong software engineering background with practical experience in AI orchestration, machine learning integration, prompt engineering, and LLMOps.

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.

Requirements

• * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a 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.
• * Experience with CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
• * Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or FAISS.
• * Experience implementing RAG architectures.
• * Familiarity with LangSmith, Weights & Biases, Arize AI, or other LLM observability platforms.
• * Experience with Docker, Kubernetes, CI/CD, and cloud-native deployments.
• * Knowledge of distributed systems and scalable AI architecture.

Skills

Required

• LangGraph
• LangChain
• Python
• TensorFlow
• PyTorch
• Scikit-learn
• REST APIs
• Microservices
• AWS
• Azure
• GCP
• Model Context Protocol (MCP)

Preferred

• CrewAI
• AutoGen
• Semantic Kernel
• Pinecone
• Weaviate
• Chroma
• Milvus
• FAISS

Benefits

• Compensation: $120,000.00 - $140,000.00 per year