AI/ML Engineer

Noblesoft Technologies Inc.; Irving (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Noblesoft Technologies Inc. in Irving, TX is seeking a Senior AI/ML Engineer to lead building and deploying enterprise AI solutions. You will work across ML/DL, MLOps, GenAI, and agentic AI, translating business problems into scalable models and secure deployments.

You will mentor junior engineers, collaborate with product and data teams, design end-to-end pipelines, and ensure observability and responsible AI practices while deploying on AWS/Azure/GCP.

Qualifications

• Hands-on AI engineer who can take a use case from problem definition to production.
• Mentoring and strong communication, system-design and collaboration skills.
• Experience with enterprise-scale AI applications and end-to-end AI pipelines.

Responsibilities

• Design and develop end-to-end ML/DL solutions.
• Build and productionize ML models with appropriate algorithms.
• Develop and manage MLOps pipelines for training, deployment and monitoring.
• Build Generative AI apps using LLMs, embeddings, prompt engineering and RAG.
• Design and implement Agentic AI solutions with AI agents and tool calls.
• Integrate AI with enterprise APIs, databases and knowledge sources.
• Deploy scalable AI solutions on AWS, Azure or GCP.
• Implement AI observability, security, guardrails and responsible AI.
• Collaborate with product, engineering, data and business teams.
• Mentor junior engineers and contribute to AI architecture and strategy.

Skills

Python

SQL

Scikit-learn

XGBoost

LightGBM

PyTorch

TensorFlow

GenAI

LLMs

Prompt Eng

Embeddings

RAG

LangChain

Vector DB

MLOps

Docker

CI/CD

AWS

Git

FastAPI

Kubernetes

Knowledge Graph

Graph RAG

Job description

AI/ML Engineer

Location:- Irving, TX

Strong Python, LLM and Prompt engineering expertise with Java

Job Summary

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

Experience

5+ years of experience in AI/ML, Data Science, Machine Learning Engineering, or a related field.

Role Overview

• We are looking for a Senior AI/ML Engineer with strong hands-on experience across Machine Learning, Deep Learning, MLOps, Generative AI, and Agentic AI.

• The candidate will be responsible for designing, developing, deploying, and scaling AI solutions for enterprise use cases.

Key Responsibilities

• Design and develop end-to-end Machine Learning and Deep Learning solutions.

• Build and productionize ML models using appropriate algorithms and frameworks.

• Develop and manage MLOps pipelines covering model training, deployment, monitoring, and lifecycle management.

• Build Generative AI applications using LLMs, prompt engineering, embeddings, RAG, and vector databases.

• Design and implement Agentic AI solutions, including AI agents, tool calling, multi-agent workflows, and orchestration.

• Integrate AI solutions with enterprise APIs, databases, applications, and knowledge sources.

• Deploy scalable AI solutions on AWS, Azure, or GCP.

• Implement AI application monitoring, evaluation, observability, security, and responsible AI practices.

• Collaborate with product, engineering, data, and business teams to translate business problems into AI solutions.

• Mentor junior engineers and contribute to AI architecture and technology strategy.

Skill Requirements

Core Technical Skills

• Programming: Python, SQL

• Machine Learning: Scikit-learn, XGBoost/LightGBM

• Deep Learning: PyTorch / TensorFlow

• GenAI: LLMs, Prompt Engineering, Embeddings, RAG

• Agentic AI: LangGraph, LangChain or equivalent frameworks

• Vector Search: OpenSearch, FAISS, Pinecone or equivalent

• MLOps: MLflow, Docker, CI/CD, model deployment & monitoring

• Cloud: AWS / Azure / GCP

• APIs & Engineering: REST APIs, FastAPI, Git, containerization

Good to Have

• MCP and A2A protocols

• Multi-agent systems

• LLM and RAG evaluation

• AI observability and guardrails

• Kubernetes

• Knowledge Graph / Graph RAG

• Experience with enterprise-scale AI applications

Candidate Profile

• The ideal candidate should be a hands-on AI engineer who can take an AI use case from problem definition through development, deployment, and production monitoring.

• Strong problem-solving, communication, system-design, and mentoring skills are expected.