Senior Full Stack Engineer - Backend & LLM Specialist We're not just building another tech platform; we're creating a suite of tools that will revolutionize the way businesses leverage language AI. Our mission is to provide tailored and robust Large Language Model (LLM) tools that seamlessly integrate advanced AI technology with the unique needs of each enterprise. 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 easily extract insights from complex text data sets. Why Join Us? You'll have the opportunity to:
- Work on cutting-edge technology that combines AI and business intelligence.
- Tackle meaningful and challenging projects with significant industry impact.
- Join a passionate team that values innovation, creativity, and personal growth.
- Influence the future of machine learning applications across diverse industries.
Your Role We are seeking a highly skilled Full Stack Prototype Engineer with a focus on backend and LLMs 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
- Lead the design, development, and maintenance of full stack solutions integrating advanced large language models (LLMs).
- Architect and implement robust backend APIs and scalable frontend interfaces.
- Rapidly prototype and iterate on AI-driven applications, incorporating stakeholder and user feedback.
- Optimize application performance through effective architecture, caching strategies, and scalable design.
- Collaborate closely with UX/UI designers to create seamless and intuitive user experiences.
- Stay at the forefront of AI and web technology advancements, integrating best practices into development processes.
- Thoroughly document development workflows, code modifications, and technical insights.
- Conduct and mentor team members through rigorous code reviews, promoting high coding standards and practices.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Strong proficiency in JavaScript and Python, with hands-on experience using frameworks such as Angular, React, and Node.js.
- Proven experience working with large language models (GPT, BERT, etc.) and tools like LangChain to build AI-driven applications.
- Expertise in designing and developing RESTful APIs.
- Proficiency in SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) database technologies.
- Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and serverless architectures.
- Strong problem-solving skills and adaptability in a fast-paced, evolving environment.
- Practical experience with container technologies such as Docker and Kubernetes.
- Deep understanding of machine learning frameworks (TensorFlow, PyTorch) and related libraries.
- Prior experience thriving in a startup environment.
- Active contributions to open-source projects are highly valued.
Benefits
- Competitive salary and equity package.
- Flexible working hours and remote work opportunities.
- Generous vacation and leave policies.
- Continuous learning and professional development opportunities.
- A vibrant team culture with regular team outings and events.
- 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
How to Apply We are proud to be an affirmative action/equal opportunity employer and encourages all applicants regardless of race, sex, gender identity, age, disability, religion, national origin, veteran status or sexual orientation. We are committed to diversity, equity and inclusion. Recruitment Process The recruitment process is as follows:
Initial conversation with one of the founders, to discuss your background and fit. Coding discussion to evaluate your technical skills and problem-solving approach. Design conversation to understand your approach to building performant, user-centric solutions. Offer discussion and next steps. Ready to Make a Difference? Apply now to join our team and help shape the future of machine learning. We look forward to hearing from you!