Senior Gen AI Engineer: Build Next-Gen AI Solutions

ApTask; Plano (TX); On-site; USD 114,000 - 125,000; Full time

Job summary

ApTask is seeking a Senior AI Engineer in Plano to design, develop, and deploy AI-powered solutions that drive business value. You’ll work with cross-functional teams on scalable AI applications using ML/DL, LLMs, and MLOps in cloud environments.

You will lead efforts in model development, evaluation, and production deployment while mentoring junior engineers and aligning AI work with business goals.

Qualifications

• Strong Python development skills.
• Hands-on ML/DL with TensorFlow, PyTorch and Scikit-learn.
• Experience with Generative AI, LLMs, RAG and AI agents.
• Knowledge of NLP techniques and vector databases (Pinecone, Chroma, Weaviate, FAISS).
• Familiarity with LangChain and LlamaIndex.

Responsibilities

• Design, develop, and deploy AI/ML solutions for enterprise applications.
• Build and optimize machine learning and deep learning models for production environments.
• Develop Generative AI applications using LLMs, Retrieval-Augmented Generation (RAG), and AI agents.
• Fine-tune and evaluate foundation models using domain-specific datasets; implement prompt engineering; develop scalable data pipelines.
• Collaborate with product managers, architects, and business stakeholders to translate requirements into AI solutions.
• Implement MLOps practices including CI/CD, model monitoring, versioning, and governance.
• Ensure AI models meet performance, security, scalability, and compliance requirements.
• Mentor junior engineers and contribute to AI best practices across the organization.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

LLMs

MLOps

NLP

Prompt engineering

Tools

Docker

Kubernetes

LangChain

LlamaIndex

Azure AI

AWS

GCP

Job description

ApTask is seeking a Senior AI Engineer in Plano to design, develop, and deploy AI-powered solutions that drive business value. You’ll work with cross-functional teams on scalable AI applications using ML/DL, LLMs, and MLOps in cloud environments.

You will lead efforts in model development, evaluation, and production deployment while mentoring junior engineers and aligning AI work with business goals.