Generative AI Engineer

Overview

On Site
Full Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12th Month(s)

Skills

Generative AI Engineer

Job Details

Job Title: Generative AI Engineer

Location: Dallas, TX
Job Type: - Contract
On-Site interview at Richardson, TX

Job Description:-

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 pod's technical roadmap.

Core Skills & Experience
Must Haves
4 8 years of software engineering experience with at least 4-5 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 (Google Cloud Platform) - 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.



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