Senior Generative AI Engineer - LLMs & MLOps Lead

ApTask; Plano (TX); On-site; USD 76,000 - 80,000; Full time

Benefits offered by this job

Subsidized Insurance

Job summary

ApTask is seeking a Senior AI Engineer to design, develop, and deploy AI-powered enterprise solutions. You will work with cross-functional teams to implement Generative AI capabilities, LLMs, RAG, and AI agents, and build scalable pipelines for training and deployment.

The role requires strong Python skills, hands-on ML/DL experience, expertise in TensorFlow/PyTorch/Scikit-learn, and familiarity with cloud platforms and MLOps practices.

Qualifications

• Proven expertise in building production AI/ML solutions.
• Experience with Generative AI and LLM deployments.

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 strategies and AI orchestration frameworks such as LangChain or LlamaIndex. Develop scalable data pipelines for model training, evaluation, and deployment.
• Collaborate with product managers, architects, and business stakeholders to translate business 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

ML/DL frameworks

Generative AI

LLMs

RAG

Prompt engineering

NLP

MLOps

Cloud platforms

Docker

Kubernetes

Data pipelines

LangChain

LlamaIndex

Tools

TensorFlow

PyTorch

Scikit-learn

Pinecone

Chroma

Weaviate

FAISS

LangChain

LlamaIndex

Azure AI

AWS

Google Cloud

Job description

ApTask is seeking a Senior AI Engineer to design, develop, and deploy AI-powered enterprise solutions. You will work with cross-functional teams to implement Generative AI capabilities, LLMs, RAG, and AI agents, and build scalable pipelines for training and deployment.

The role requires strong Python skills, hands-on ML/DL experience, expertise in TensorFlow/PyTorch/Scikit-learn, and familiarity with cloud platforms and MLOps practices.