Generative AI Engineer F2F interview

Richardson, TX - USA

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Generative AI Engineer

6-12 Months Contract

Location - Richardson TX

Interview Mode F2F Only

Key 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 pods technical roadmap.

Must Haves

4 8 years of software engineering experience with at least 1 2 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 AutoGen CrewAI is a must
Understanding of Git CI/CD DevOps and production-grade GenAI deployment practices.

Nice-to-Have

Familiarity with Google Cloud Platform (GCP) - especially Vertex AI Cloud Run and GKE.
Experience building AI APIs embeddings vector search and integrating them into applications.
Experience fine-tuning open-source models (LLaMA Mistral etc.) or working with OpenAI APIs.
Exposure to multi-modal AI systems (text image or voice).
Familiarity with Low-Code/No-Code tools (e.g. AppSheet) for workflow integration.

Tekshapers is an equal opportunity employer and will consider all applications without regard to race sex age color religion national origin veteran status disability sexual orientation gender identity genetic information or any characteristic protected by law.

Generative AI Engineer 6-12 Months Contract Location - Richardson TX Interview Mode F2F Only Key Responsibilities Design develop and deploy agentic AI systems leveraging LLMs and modern AI frameworks. Integrate GenAI models into full-stack applications and internal workflows. Collabora...