Job Summary:Quinn AI is looking for a highly skilled and hands-on Full Stack Developer with a strong background in machine learning (ML) and large language model (LLM) data pipelines. The ideal candidate will have extensive experience with AWS services, including AWS Lambda and API Gateway, as well as proficiency in Bitbucket, GitHub, Django, Flask, Python, PostgreSQL, and front-end technologies (HTML, CSS, JavaScript).
Quinn AI is an innovative early-stage startup founded by two former Amazon executives. We have achieved promising early results and aim to revolutionize traditional business and revenue operations. By integrating a best-in-class Business Operating System with advanced machine learning analytics and a conversational AI advisor, we are poised to disrupt the industry.
Key Responsibilities:Full Stack Development:
- Design, develop, and maintain robust and scalable web applications using Django and Flask.
- Implement front-end interfaces using HTML, CSS, and JavaScript, ensuring seamless integration with back-end services.
Machine Learning and LLM Pipelines:
- Build and maintain data pipelines for ML and LLM applications.
- Integrate ML models and LLM workflows into web applications.
Cloud Services and Infrastructure:
- Develop serverless applications using AWS Lambda and API Gateway.
- Deploy, monitor, and manage applications on AWS.
- Ensure security and scalability of cloud infrastructure.
Database Management:
- Design and manage PostgreSQL databases to support application and data processing needs.
- Ensure data integrity, performance, and security of the database systems.
Version Control and Collaboration:
- Use Bitbucket and GitHub for version control and collaborative development.
- Participate in code reviews, testing, and debugging processes.
Technical Leadership and Mentorship:
- Stay updated with the latest trends and advancements in full-stack development, ML, and LLM technologies.
Qualifications:Education:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Technical Skills:
- Proficiency in Python and frameworks such as Django and Flask.
- Experience with AWS services, including AWS Lambda and API Gateway.
- Strong knowledge of machine learning and large language models.
- Familiarity with data pipeline tools and techniques.
- Experience with version control systems like Bitbucket and GitHub.
- Professional proficiency in front-end technologies: HTML, CSS, and JavaScript.
- Experience with PostgreSQL and database management.
Professional Experience:
- Proven experience as a Full Stack Developer or similar role.
- Hands-on experience in building and deploying ML and LLM models.
- Experience with cloud infrastructure and serverless architecture on AWS.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Soft Skills:
- Excellent communication and teamwork abilities.
- Strong analytical and organizational skills.
- Ability to mentor and guide junior team members.
Preferred Skills:- Experience with other cloud platforms (e.g., Azure, Google Cloud).
- Knowledge of containerization and orchestration tools (e.g., Docker).
- Familiarity with continuous integration and continuous deployment (CI/CD) pipelines.
Application Process:Interested candidates are invited to submit resumes and a cover letter detailing their relevant experience and why they are a good fit for this role.