Experienced AI/ML Engineer — Generative AI & RAG Apps

Valiant Technologies LLC; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Valiant Technologies LLC is seeking an experienced AI/ML Engineer with strong Python expertise. You will develop and deploy scalable AI/ML models and enterprise-ready RAG applications, collaborating with cross-functional teams to ensure robust production systems.

You will work on Generative AI, LLMs, and NLP workloads, implementing CI/CD, containerization, monitoring, and model versioning to maintain high reliability in enterprise environments. Experience with AWS or cloud platforms is a plus.

Qualifications

• Experience developing AI/ML models in production environments.
• Strong Python programming and software development best practices.
• Hands-on experience with TensorFlow or PyTorch and NLP/LLM workloads.

Responsibilities

• Analyze business requirements and design scalable AI/ML solutions.
• Develop, train, evaluate, and optimize ML, DL, NLP, and Generative AI models.
• Build LLM applications and RAG pipelines using embeddings and vector databases.
• Integrate AI/ML solutions into enterprise platforms via APIs and microservices.
• Collaborate with data engineering, cloud, DevOps, QA, and architecture teams.
• Implement production practices including CI/CD, testing, containerization, versioning, and monitoring.
• Support model troubleshooting, drift detection, observability, and continuous improvement.

Skills

Python

AI/ML development

ML/DL

TensorFlow

PyTorch

Generative AI

LLMs

NLP

Tools

APIs

Microservices

CI/CD

Containerization

Job description

Valiant Technologies LLC is seeking an experienced AI/ML Engineer with strong Python expertise. You will develop and deploy scalable AI/ML models and enterprise-ready RAG applications, collaborating with cross-functional teams to ensure robust production systems.

You will work on Generative AI, LLMs, and NLP workloads, implementing CI/CD, containerization, monitoring, and model versioning to maintain high reliability in enterprise environments. Experience with AWS or cloud platforms is a plus.