AI / ML Engineer

Highbrow LLC; Dallas (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A technology solutions company in Dallas is looking for an AI/ML Engineer to design and implement Agentic AI systems. The ideal candidate will possess strong expertise in orchestration frameworks such as LangChain and hands-on experience in Machine Learning using Python. Responsibilities include developing ML models, deploying solutions in cloud environments, and ensuring the security and compliance of systems. Familiarity with Telecom billing systems is a plus.

Qualifications

• Proven experience with Agentic AI systems and orchestration frameworks.
• Hands-on Machine Learning experience using Python.
• Solid understanding of cloud platforms and CI/CD pipelines.

Responsibilities

• Design and implement Agentic AI architectures using orchestration tools.
• Develop ML models for both textual and tabular data.
• Deploy AI/ML solutions on various cloud platforms with best practices.

Skills

Python

Agentic AI systems

CI/CD pipelines

MLOps

Cloud platforms

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

AI / ML Engineer

Location: Dallas, TX

Description

We are seeking an experienced AI/ML Engineer with strong expertise in Agentic AI systems and orchestration frameworks such as LangChain, CrewAI, Agno, combined with hands‑on experience in Machine Learning using Python for both textual and tabular data. The ideal candidate will have a solid background in cloud platforms, CI/CD pipelines, and secure agentic system design, along with practical knowledge of MLOps/LLMOps best practices. Experience with Telecom billing systems is a plus.

Qualifications

We are seeking an experienced AI/ML Engineer with strong expertise in Agentic AI systems and orchestration frameworks such as LangChain, CrewAI, Agno, combined with hands‑on experience in Machine Learning using Python for both textual and tabular data. The ideal candidate will have a solid background in cloud platforms, CI/CD pipelines, and secure agentic system design, along with practical knowledge of MLOps/LLMOps best practices. Experience with Telecom billing systems is a plus.

Key Responsibilities

• Agentic AI Development
• Design and implement Agentic AI architectures using orchestration tools like LangChain, CrewAI, Agno.
• Build secure, scalable multi‑agent systems for enterprise workflows.
• Integrate LLMs and external APIs for dynamic reasoning and task execution.
• Exposure to vector databases (Pinecone, Weaviate, Azure AI Search, Neo4j) and retrieval‑augmented generation (RAG).
• Machine Learning & Data Handling
• Develop ML models for text analytics (NLP, embeddings, transformers) and tabular data (classification, regression, clustering).
• Optimize algorithms for performance and accuracy using Python and popular ML libraries (TensorFlow, PyTorch, Scikit‑learn).
• Cloud & Deployment
• Deploy AI/ML solutions on AWS, Azure, or GCP with best practices for scalability and security.
• Implement CI/CD pipelines for automated testing, deployment, and monitoring of AI systems.
• MLOps / LLMOps
• Establish model lifecycle management, including versioning, monitoring, and retraining.
• Implement LLMOps workflows for prompt management, evaluation, and fine‑tuning of large language models.
• Security & Compliance
• Design secure agentic systems with proper authentication, authorization, and data privacy controls.
• Ensure compliance with enterprise security standards