Generative AI Engineer — Multi-Agent, Production Systems

Turing; Dallas (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

A leading AI research organization seeks a Generative AI Engineer to design and integrate cutting-edge AI systems. The ideal candidate has 8 years of software engineering experience, with a focus on AI/ML and GenAI production. You will work onsite in Texas, collaborating with teams to optimize enterprise-level AI solutions. This long-term contractor position offers the opportunity to make significant impacts through innovative AI projects.

Qualifications

• 8 years of software engineering experience with at least 3 years in AI/ML or GenAI systems in production.
• Hands-on experience with Python for AI/ML model integration.
• Experience with LLM frameworks (LangChain, LlamaIndex).
• Exposure to agentic frameworks (Langgraph, Google ADK).
• Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices.
• Familiarity with Google Cloud Platform (GCP).

Responsibilities

• Design, develop, and deploy agentic AI systems leveraging LLMs.
• Integrate GenAI models into full-stack applications.
• Collaborate on prompt engineering and model fine-tuning.
• Build reusable components for multi-agent orchestration.
• Optimize AI inference pipelines for scalability and cost efficiency.
• Participate in architectural discussions.

Skills

Software Engineering Experience

AI/ML Experience

Python for AI/ML

LLM Frameworks (LangChain, LlamaIndex)

Agentic Frameworks (Langgraph, Google ADK)

Git, CI/CD, DevOps

Google Cloud Platform

Job description

A leading AI research organization seeks a Generative AI Engineer to design and integrate cutting-edge AI systems. The ideal candidate has 8 years of software engineering experience, with a focus on AI/ML and GenAI production. You will work onsite in Texas, collaborating with teams to optimize enterprise-level AI solutions. This long-term contractor position offers the opportunity to make significant impacts through innovative AI projects.