Jobs via Dice

Generative AI Engineer - F2F Interview

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer with a 6-12 month contract in Richardson, TX. Requires 4-8 years of software engineering experience, 1-2 years in AI/ML, and expertise in LLM frameworks and agentic frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 20, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Richards, TX
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🧠 - Skills detailed
#AI (Artificial Intelligence) #ML (Machine Learning) #GCP (Google Cloud Platform) #Deployment #Cloud #Scala #GIT #Langchain #Automation #Python #DevOps
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, TekShapers, is seeking the following. Apply via Dice today! 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 pod's 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 (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. 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.