Artificial Intelligence Engineer

Nexacode is seeking an AI / Machine Learning Engineer to design, build, and deploy high-performance machine learning models and AI-driven applications. The role covers end-to-end model development, including data engineering, feature extraction, production deployment, and MLOps tracking.

Responsibilities

• Architect, train, and evaluate predictive models, NLP algorithms, or generative AI workflows to solve complex enterprise problems
• Build, scale, and maintain automated data preprocessing pipelines and feature stores
• Deploy machine learning models as scalable REST APIs into cloud production environments
• Monitor model performance, track feature drift, and implement continuous retraining mechanisms
• Collaborate with backend engineers and data teams to seamlessly integrate AI endpoints into core software products

Preferred

• Experience working with Large Language Models (LLMs), prompt engineering, or RAG (Retrieval-Augmented Generation) architectures
• Familiarity with vector databases (Pinecone, Weaviate, Milvus) and orchestration frameworks (LangChain, LlamaIndex)
• Large Language Models
• Prompt Engineering
• RAG Architectures
• Vector Databases
• Pinecone
• Weaviate
• Milvus
• Orchestration Frameworks
• LangChain
• LlamaIndex

Company

• Technology consulting, custom software, and technical staffing services
• Frisco, Texas, USA
• https://nexacode.com/
• Founded in 2013
• 51-200 employees

Qualifications

• Programming Expertise: 4+ years of professional software engineering experience with mastery in Python (pandas, NumPy, scikit-learn)
• Deep Learning Frameworks: Hands-on experience with PyTorch or TensorFlow
• Cloud & MLOps: Practical experience deploying models on AWS (SageMaker), Azure ML, or GCP, along with CI/CD automation tools
• API & Microservices: Strong proficiency building RESTful services and microservices (FastAPI, Flask) for model inference
• Data Engineering: Expert SQL skills and experience working with large-scale relational/non-relational data infrastructure
• Experience working with Large Language Models (LLMs), prompt engineering, or RAG (Retrieval-Augmented Generation) architectures
• Familiarity with vector databases (Pinecone, Weaviate, Milvus) and orchestration frameworks (LangChain, LlamaIndex)
• Programming Expertise: 4+ years of professional software engineering experience with mastery in Python (pandas, NumPy, scikit-learn).

Required skills

• AWS SageMaker, Azure ML, or GCP, CI/CD Automation, FastAPI or Flask, LangChain or LlamaIndex, Large Language Models (LLMs), Large-Scale Data Infrastructure, NumPy, Pinecone, Weaviate, or Milvus, Prompt Engineering, PyTorch or TensorFlow, Python, RESTful APIs and Microservices, Retrieval-Augmented Generation (RAG), SQL, pandas, scikit-learn

Preferred skills

• AI Tools, Analyze How Well You Fit, Build Cover Letter, Company data provided by, Customize Your Resume, Frisco, Texas, USA, Growth Stage, Make your application stand out, Maximize your interview chances, Understand your strength & weakness, https://nexacode.com/

Experience

• 4+ years