Gen AI Engineer Job at TechDoQuest, Richardson, TX

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  • TechDoQuest
  • Richardson, TX

Job Description

Experience : 8+ years in technology, data engineering, Big Data, AI/ ML systems with proven experience at Palantir, Google, or Microsoft.

Need only local candidates who can go onsite for minimum 3 days in a week.

Project Overview

As a Generative AI Engineer , you’ll be a core member of this pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You’ll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions.

What Does a Typical Day Look Like?

  • 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.

Required Skills

  • 8 years of software engineering experience with at least 3 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, Google ADK, is a must)
  • Understanding of Git, CI/CD, DevOps , and production-grade GenAI deployment practices.
  • Familiarity with Google Cloud Platform (GCP) — e.g. Vertex AI, Cloud Run, and GKE.

Job Tags

Local area, 3 days per week,

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