E
AI

LLM Engineer

Employvision Inc. · Houston, TX

Actively hiring Posted 7 months ago

Are you passionate about building intelligent systems powered by Large Language Models (LLMs)? Our team is looking for an
experienced LLM Engineer
to help integrate advanced language models into our existing applications — automating workflows and enabling smarter, data-driven insights.

What You’ll Do:

  • Design, develop, and deploy LLMs within existing applications.

  • Collaborate with the data engineering team to connect LLMs with our data pipeline.

  • Automate complex tasks and enhance app functionality using LLMs.

  • Ensure scalability, reliability, and performance of LLM implementations.

  • Stay on top of the latest developments in NLP and generative AI technologies.

What We’re Looking For:

  • Proven experience in
    Natural Language Processing (NLP)
    .

  • Hands-on experience in designing, building, and deploying
    Large Language Models
    .

  • Strong programming background —
    Python
    ,
    TensorFlow
    , or
    PyTorch
    .

  • Familiarity with cloud services such as
    AWS
    ,
    Azure
    , or
    Google Cloud
    .

  • Excellent problem-solving skills and strong attention to detail.

  • Great communication and collaboration skills.

Tags & focus areas

Used for matching and alerts on DevFound
Contract Ai Nlp Generative Ai Pytorch Tensorflow Data Engineer
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.