Senior AI/ML Engineer — GenAI, MLOps & Agentic AI

TechDigital Group; Irving (TX); On-site; USD 140,000 - 230,000; Full time

Job summary

TechDigital Group is seeking a Senior AI/ML Engineer with extensive Python, ML/DL, and GenAI experience to design and deploy enterprise AI solutions. You will build end-to-end ML systems, manage MLOps pipelines, and develop agentic AI applications using LLMs, embeddings, and tool calls.

You will deploy on AWS/Azure/GCP, ensure monitoring and security, and collaborate with cross-functional teams to translate business problems into AI solutions.

Qualifications

• 5+ years of experience in AI/ML, Data Science, ML engineering, or related field.
• Strong hands-on experience across ML, DL, MLOps, GenAI and Agentic AI.

Responsibilities

• Design and develop end-to-end ML/DL solutions.
• Productionize ML models and manage ML pipelines.
• Develop GenAI applications using LLMs, embeddings, and RAG.
• Design Agentic AI with AI agents, tool calling, and multi-agent workflows.
• Integrate AI with enterprise APIs, databases and apps.
• Deploy AI solutions on AWS, Azure or GCP.
• Implement monitoring, security, observability and responsible AI practices.
• Collaborate with product, data and business teams to translate problems into AI solutions.
• Mentor junior engineers and contribute to AI architecture.

Skills

Python

SQL

Machine Learning

Deep Learning

GenAI

Prompt Engineering

Embeddings

RAG

AWS

Azure

GCP

REST APIs

FastAPI

Docker

CI/CD

Education

Bachelor's degree in a related field

Tools

Scikit-learn

XGBoost/LightGBM

PyTorch

TensorFlow

LangGraph

LangChain

OpenSearch

FAISS

Pinecone

MLflow

Docker

CI/CD tooling

FastAPI

REST APIs

Job description

TechDigital Group is seeking a Senior AI/ML Engineer with extensive Python, ML/DL, and GenAI experience to design and deploy enterprise AI solutions. You will build end-to-end ML systems, manage MLOps pipelines, and develop agentic AI applications using LLMs, embeddings, and tool calls.

You will deploy on AWS/Azure/GCP, ensure monitoring and security, and collaborate with cross-functional teams to translate business problems into AI solutions.