Full Stack LLM Engineer

We're not just building another tech platform. We're creating tools to revolutionize how businesses leverage language AI. Our mission is to provide tailored and robust large language model (LLM) tools that integrate advanced AI technology with each enterprise's unique needs. We're aiming to become the go-to tool for business analysts. Our platform offers unmatched functionality, flexibility, and user experience, empowering enterprise users to extract insights from complex text data sets easily.

Your Role

We seek a highly skilled Full-Stack LLM Prototype Engineer to join our dynamic team. In this role, you will be instrumental in developing innovative prototypes that integrate advanced large language models into diverse applications. You will collaborate closely with cross-functional teams, including data scientists, UI/UX designers, and product managers, to turn groundbreaking ideas into functional, user-friendly solutions.

Key Responsibilities

• Design, develop, and maintain full-stack solutions integrating large language models.
• Work across the stack, implementing both frontend interfaces and backend APIs.
• Prototype and iterate on models and applications based on stakeholder feedback and user testing.
• Ensure the scalability and performance of applications through effective architecture and caching.
• Collaborate with UX/UI designers on the technical feasibility of designs and enhance UX.
• Stay up-to-date with emerging trends and advancements in AI and web technologies.
• Document development processes, code changes, and other technical information as needed.
• Participate in code reviews, contributing to improving internal coding standards and practices.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Frontend & backend programming: JavaScript, Python, Angular, React and Node.js.
• Experience with AI technologies, particularly large language models (GPT, BERT, etc.).
• Familiarity with RESTful API design and development.
• Database technologies, both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB).
• Experience with cloud services (AWS, Google Cloud, Azure) and serverless architectures.
• Strong problem-solving skills and the ability to work in a fast-paced, evolving environment.
• Excellent collaboration and communication skills.
• Experience with Docker, Kubernetes, or similar container technologies.
• Knowledge of machine learning frameworks (TensorFlow, PyTorch) and libraries.
• Prior experience in a startup environment.
• Contributions to open-source projects.

Why join?

• You can work on a cutting-edge platform that combines AI and business intelligence.
• You'll tackle meaningful and challenging projects that have the potential to make a significant impact across industries.
• Our team is passionate about innovation and quality, and we foster a culture that values creativity, personal growth, and the advancement of LLM applications.
• Join us and be part of a company that's driving the future of language AI.

Benefits

• Competitive salary and equity package.
• Flexible working hours and remote work opportunities.
• A vibrant team culture with regular team outings and events.
• Continuous learning and professional development opportunities.
• Health, dental and vision coverage, including HDHP with HSA options
• Company-paid basic life/AD&D insurance
• Monthly wellness allowance
• 401k plan, with pre-tax or Roth IRA options
• Paid company holidays, vacation and sick leave
• Paid parental leave
• Adoption Assistance
• Voluntary benefits, including short- and long-term disability insurance, critical illness and accident insurance

Recruitment Process

The Recruitment Process Is As Follows: * An initial 30-minute conversation with one of the founders * 60-minute front-end coding discussion with a Full Stack Engineer * 60-minute LLM API and Python coding discussion with one of the founders * Offer

Next Steps

If this new challenge sounds interesting, please send your CV to [email protected]. Many thanks Rich | Founder | Talented Hires

Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Software Development