Agentic AI Engineer

Neotrix Systems; Houston (TX); Remote; USD 120,000 - 140,000; Full time

Job summary

Neotrix Systems is seeking an Agentic AI Engineer to design, develop, and deploy intelligent AI agents and multi-agent systems that automate complex workflows and integrate with enterprise apps. You will work with generative AI, APIs, data integration, and AI orchestration to build secure, scalable agentic solutions.

The role requires strong Python skills, experience with LLMs, prompt engineering, and tool calling.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, AI, IT, or related field.
• Strong programming skills in Python and building applications/APIs/AI solutions.
• Hands-on knowledge of Generative AI, LLMs, prompt engineering, RAG, embeddings, and vector databases.
• Experience with agentic AI concepts including tool calling, function calling, workflow orchestration, memory, and multi-agent systems.
• Familiarity with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar technologies.
• Experience integrating AI systems with APIs, databases, enterprise apps, and external tools.
• Understanding of AI evaluation, observability, security, responsible AI, and human-in-the-loop practices.
• Familiarity with AWS/Azure/GCP is a plus.

Responsibilities

• Design and develop AI agents and multi-agent systems for business and technical use cases.
• Build agent workflows using LLMs, tool calls, APIs, and workflow orchestration.
• Develop RAG solutions to retrieve and use relevant enterprise data.
• Integrate AI agents with business apps, databases, APIs, and external tools.
• Design agent memory, context management, planning, and decision workflows.
• Develop evaluation, testing, monitoring, and performance practices for agentic AI systems.
• Implement guardrails, access controls, human oversight, and security measures.
• Collaborate with software engineers, data scientists, cloud and security teams, and stakeholders.
• Deploy, troubleshoot, and optimize agentic AI applications in dev and prod.
• Evaluate emerging AI models, frameworks, tools, and techniques and apply where appropriate.

Skills

Python

Machine Learning

Artificial Intelligence

Natural Language Processing

Deep Learning

MLOps

Prompt Engineering

Generative AI

LLMs

LangChain

Retrieval-Augmented Generation

LangGraph

Agentic AI

Vector Databases

Education

Bachelor's degree in Computer Science or related field

Tools

Python

APIs

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

Cloud platforms (AWS/Azure/GCP)

Job description

AGENTIC AI ENGINEER

• $120k – $140k No equity
• Remote: United States Houston
• 5 years of exp
• Full Time

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About the job

About the Job

Neotrix Systems is an IT consulting and services company specializing in cloud modernization, platform engineering, AI solutions, and technology governance. We bring together skilled technology professionals to design, modernize, and secure enterprise systems, delivering innovative solutions that address complex business and technology challenges.

Neotrix Systems is seeking skilled Agentic AI Engineers to design, develop, and implement intelligent AI agents and multi-agent systems that automate complex workflows, integrate with enterprise applications, and support business operations. The role combines generative AI, software engineering, APIs, data integration, and AI orchestration to build secure, scalable, and production-ready agentic AI solutions.

Key Responsibilities

• Design and develop AI agents and multi-agent systems that support business and technical use cases.
• Build agent workflows using LLMs, tool and function calling, APIs, and workflow orchestration.
• Develop RAG solutions that enable agents to retrieve and use relevant enterprise data.
• Integrate AI agents with business applications, databases, APIs, and external tools.
• Design agent memory, context management, planning, and decision-making workflows.
• Develop evaluation, testing, monitoring, and performance practices for agentic AI systems.
• Implement appropriate guardrails, access controls, human oversight, and security measures.
• Collaborate with software engineers, data scientists, cloud teams, security teams, and business stakeholders.
• Deploy, troubleshoot, and optimize agentic AI applications in development and production environments.
• Evaluate emerging AI models, frameworks, tools, and techniques and apply them where appropriate.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field.
• Strong programming skills, particularly in Python, with experience developing applications, APIs, or AI solutions.
• Hands-on knowledge of Generative AI, LLMs, prompt engineering, RAG, embeddings, and vector databases.
• Experience with agentic AI concepts including tool calling, function calling, workflow orchestration, memory, and multi-agent systems.
• Familiarity with frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar technologies.
• Experience integrating AI systems with APIs, databases, enterprise applications, and external tools.
• Understanding of AI evaluation, observability, security, responsible AI, and human-in-the-loop practices.
• Familiarity with cloud AI platforms such as AWS, Azure, or GCP is an advantage.
• Strong analytical, problem-solving, communication, and collaboration skills.

Join Our Talent Network

Neotrix Systems welcomes applications from experienced Agentic AI Engineers interested in contributing to innovative technology initiatives. We are building relationships with qualified professionals whose expertise aligns with our evolving project and client requirements.

Job Location

Houston

Remote Work Policy

Onsite or remote

Hires remotely in

United States

Visa Sponsorship

Not Available

Preferred Timezones

Central Time

Collaboration Hours

9:00 AM - 5:00 PM Central Time

Relocation

Not Allowed

Skills

• Python
• Machine Learning
• Artificial Intelligence
• Natural Language Processing
• Deep Learning
• MLOps
• Prompt Engineering
• Generative AI
• LLMs
• LangChain
• Retrieval-Augmented Generation (RAG)
• LangGraph
• Agentic AI
• Vector Databases (Pinecone Serverless, Qdrant, FAISS, ChromaDB)