Full-Stack Software Engineer
4 days ago
Join Nolana's team as a Full-Stack Software Engineer
Location: London (Hybrid)
Job Type: Full-time
Reports To: Founder
Experience Level: Mid-Level with AI/ML experience
Are you passionate about advancing AI and machine learning? Do you want to help shape the future of large language models? We're seeking a Software Engineer to lead the development of full-stack platform and LLM infrastructure from the ground up.
We are an early-stage startup building an AI-powered enterprise platform . Our founding team comes from senior product and engineering positions at leading tech companies with a goal of making large organisations more efficient .
What You'll Do:
- Full-Stack Development: Lead the design, development, and maintenance of both front-end and back-end technologies to ensure a user-friendly platform.
- Model Integration: Integrate the LLM model with the entire pipeline, facilitating seamless communication between modules.
- LLM Deployment: Deploy large language models optimised for both on-device and cloud-based platforms.
- Data Infrastructure: Build and manage data pipelines, leveraging insights to continuously improve AI models and learning outcomes.
- Database Management: Ensure that essential information is securely and efficiently stored in and retrieved from databases.
- Collaboration: Partner with leading researchers, data scientists, and engineers to push the boundaries of AI.
- Stay Informed: Continuously monitor and apply the latest advancements in AI research.
What You Bring:
- Experience in full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Proficiency in front-end development using React and
- A passion for AI innovation, creativity, and problem-solving
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling)
- Bachelor's degree in computer science or equivalent work experience
Bonus Points:
- Experience in a high-growth startup environment
- Knowledge of Python frameworks such as Django, Flask, or FastAPI
- Experience with Rust and machine learning libraries like PyO3 and Candle
- Understanding of Generative AI, MLOps, CI/CD or cloud platforms (AWS/GCP/Azure)
- Experience with container orchestration tools such as Docker and Kubernetes
- Skilled in managing large databases like MongoDB and PostgreSQL
Why Join Us?
- Work on innovative AI technology that will redefine enterprise-grade LLMs
- Thrive in a collaborative culture focused on learning, growth, and innovation
- Enjoy a competitive compensation package and benefits
- Access cutting-edge resources and infrastructure
- Join a founding team from top-tier tech companies like Amazon, Google, Samsung, and AMD
Ready to build the future of AI with us? Apply and be part of our journey to create the next generation of organisational efficiency software
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