Gen AI Engineer - 57001

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

Tools

LangChain

LlamaIndex

Langgraph

Google ADK

Vertex AI

Cloud Run

GKE

Job description

Overview

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Project Overview:

As a Generative AI Engineer, you’ll be a core member of this pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You’ll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions.

Responsibilities

• Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks.
• Integrate GenAI models into full-stack applications and internal workflows.
• Collaborate on prompt engineering, model fine-tuning, and evaluation of generative outputs.
• Build reusable components and services for multi-agent orchestration and task automation.
• Optimize AI inference pipelines for scalability, latency, and cost efficiency.
• Participate in architectural discussions, contributing to the pod’s technical roadmap.

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 only for AI/ML model integration.
• Experience with LLM frameworks (LangChain, LlamaIndex is a must)
• Exposure to agentic frameworks (Langgraph, Google ADK, is a must)
• Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices.
• Familiarity with Google Cloud Platform (GCP) — e.g. Vertex AI, Cloud Run, and GKE.

Engagement

Commitment: Onsite (3 days) at Richardson, TX

Type: Contractor and Fulltime

Duration: Long term

Application

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

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