Generative AI Engineer

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:
Contract

Seniority:
Mid-Senior to Senior

Experience:
8+ years overall (2–3+ 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 You’ll 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
• 2–3+ 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