Crossing Hurdles
Generative AI Engineer (Richardson)
Crossing Hurdles, Richardson, Texas, United States, 75080
Crossing Hurdles is a global recruitment firm that partners with
US-based companies
to help them hire high-quality talent across technology and business functions. We work closely with fast-growing teams to identify professionals who can deliver impact in complex, high-ownership roles.
Location:
Richardson, TX / Remote Employment Type:
Full-Time Seniority:
Mid-Senior to Senior Experience:
8+ years overall (23+ years in GenAI/AI systems)
About the Role As a
Generative AI Engineer , you will be a core member of a high-impact engineering pod, responsible for building and integrating
agentic AI systems
powered by advanced
LLM and Generative AI technologies . You will collaborate closely with Tech Leads and Full Stack Engineers to convert AI capabilities into
production-ready, enterprise-grade solutions .
What Youll Be Working On Designing, developing, and deploying
agentic AI systems
using modern LLM frameworks Integrating Generative AI models into full-stack applications and internal workflows Collaborating on
prompt engineering, model fine-tuning, and evaluation Building reusable components for
multi-agent orchestration and task automation Optimizing AI inference pipelines for
scalability, latency, and cost efficiency Participating in architectural discussions and contributing to the
technical roadmap
Must-Have Experience 8+ years of software engineering experience 23+ years of hands-on experience with
AI/ML or Generative AI systems in production Strong experience using
Python for AI/ML integration Hands-on with
LangChain and LlamaIndex Experience with
agentic frameworks
such as LangGraph or Google ADK Understanding of
Git, CI/CD, DevOps , and production-grade AI deployment Familiarity with
Google Cloud Platform
(Vertex AI, Cloud Run, GKE)
Nice to Have Experience with embeddings, vector databases, and AI APIs Fine-tuning open-source LLMs (LLaMA, Mistral) or working with OpenAI APIs Exposure to
multimodal AI systems
(text, image, voice) Familiarity with low-code/no-code workflow tools
Why This Role Work on
real-world, production AI systems High ownership and hands-on technical impact Opportunity to build and scale
enterprise-grade GenAI solutions Collaborate with senior engineers on complex AI problems
US-based companies
to help them hire high-quality talent across technology and business functions. We work closely with fast-growing teams to identify professionals who can deliver impact in complex, high-ownership roles.
Location:
Richardson, TX / Remote Employment Type:
Full-Time Seniority:
Mid-Senior to Senior Experience:
8+ years overall (23+ years in GenAI/AI systems)
About the Role As a
Generative AI Engineer , you will be a core member of a high-impact engineering pod, responsible for building and integrating
agentic AI systems
powered by advanced
LLM and Generative AI technologies . You will collaborate closely with Tech Leads and Full Stack Engineers to convert AI capabilities into
production-ready, enterprise-grade solutions .
What Youll Be Working On Designing, developing, and deploying
agentic AI systems
using modern LLM frameworks Integrating Generative AI models into full-stack applications and internal workflows Collaborating on
prompt engineering, model fine-tuning, and evaluation Building reusable components for
multi-agent orchestration and task automation Optimizing AI inference pipelines for
scalability, latency, and cost efficiency Participating in architectural discussions and contributing to the
technical roadmap
Must-Have Experience 8+ years of software engineering experience 23+ years of hands-on experience with
AI/ML or Generative AI systems in production Strong experience using
Python for AI/ML integration Hands-on with
LangChain and LlamaIndex Experience with
agentic frameworks
such as LangGraph or Google ADK Understanding of
Git, CI/CD, DevOps , and production-grade AI deployment Familiarity with
Google Cloud Platform
(Vertex AI, Cloud Run, GKE)
Nice to Have Experience with embeddings, vector databases, and AI APIs Fine-tuning open-source LLMs (LLaMA, Mistral) or working with OpenAI APIs Exposure to
multimodal AI systems
(text, image, voice) Familiarity with low-code/no-code workflow tools
Why This Role Work on
real-world, production AI systems High ownership and hands-on technical impact Opportunity to build and scale
enterprise-grade GenAI solutions Collaborate with senior engineers on complex AI problems