Senior AI/ML Engineer: Generative AI in Production (Hybrid)

Harnham; Houston (TX); Hybrid; USD 162,000 - 198,000; Full time

Job summary

Harnham in Houston, TX, is hiring a Senior AI / Machine Learning Engineer for a hybrid role with four days onsite weekly. The position targets experts in traditional ML/NLP and recent Generative AI, including RAG pipelines and agentic AI systems. You will own design, development, and deployment of AI solutions in production.

You will work across LLM-powered apps, retrieval systems, and document processing workflows, driving real-world impact with advanced ML engineering practices.

Qualifications

• 5+ years of hands-on ML engineering experience.
• Strong NLP foundation, transformer architectures.
• Production ML deployment ownership.
• Strong Python experience.
• Hands-on Generative AI and LLM experience.
• Experience with RAG and embeddings.
• Agentic AI system design and deployment.
• Progression from traditional ML/NLP to Generative AI and Agentic AI.

Responsibilities

• Design, develop, and deploy production-grade ML, Generative AI, and Agentic AI systems.
• Architect and implement AI agents capable of reasoning through tasks and automating workflows.
• Build and optimize RAG pipelines and embedding-based retrieval systems.
• Apply NLP and transformer expertise to unstructured text problems.
• Develop and maintain Python-based ML pipelines and deployment workflows.
• Deploy ML models and LLM-based systems into production environments.
• Evaluate and improve model performance and retrieval quality.
• Contribute to technical design decisions for AI solutions.
• Apply ML expertise to document processing and workflow automation.

Job description

Harnham in Houston, TX, is hiring a Senior AI / Machine Learning Engineer for a hybrid role with four days onsite weekly. The position targets experts in traditional ML/NLP and recent Generative AI, including RAG pipelines and agentic AI systems. You will own design, development, and deployment of AI solutions in production.

You will work across LLM-powered apps, retrieval systems, and document processing workflows, driving real-world impact with advanced ML engineering practices.