Fullstack Developer

2 weeks ago

Austin, TX, United States The Staff Pad Full time
Job Description
The Staff Pad has partnered with a law office in Austin, TX to hire a Fullstack Developer with Generative AI expertise.

Location: Austin, TX (Hybrid)

We are seeking a highly skilled Fullstack Developer with deep experience in Generative AI, NLP, and modern LLM frameworks. The ideal candidate is passionate about building AI-driven solutions, excels in Python-based model development, and thrives in a fast-paced, innovation-focused legal technology environment. If you enjoy solving complex problems and contributing to next-generation AI tools, we encourage you to apply.

Responsibilities
  • Contribute to the design of scalable, maintainable, and robust systems for new and existing projects.
  • Perform thorough code reviews to ensure quality, identify risks, and uphold engineering best practices.
  • Apply advanced technical expertise to refine architecture, troubleshoot complex issues, and improve system performance.
  • Collaborate with the Engineering Manager and cross-functional stakeholders to align development efforts with business and operational goals.
  • Identify potential design or implementation risks and propose mitigation strategies.
  • Take ownership of complex tasks with minimal supervision and clearly communicate technical decisions to the team.
  • Document technical designs and solutions in a clear, accessible manner.
  • Research and integrate emerging technologies to drive continuous innovation.
  • Present technical solutions in business-friendly terms and provide concise updates on status, risks, and progress.
Qualifications
  • 2+ years of experience with AWS, GCP, or Azure (AI/ML production environment preferred).
  • Strong written and spoken English communication skills.
  • Expertise in Generative AI, including LLMs, vector databases, RAG solutions, and open-source AI frameworks.
  • Proficiency in Python for model training, NLP, GenAI workflows, and building end-to-end AI frameworks.
  • Experience training, evaluating, and tuning machine learning models.
  • Hands-on experience with LLM libraries such as LangChain, PyTorch, GPT, and Transformers.
  • Background in software engineering with system design/architecture experience preferred.
  • Proficiency with Django, React, and PostgreSQL; DevOps experience is a plus.
  • Strong analytical and problem-solving skills with a history of delivering high-quality solutions.
  • Comfortable in a dynamic, fast-paced environment with shifting priorities.
  • Cover letter required for consideration.

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