AI Backend Engineer

Backend Engineer for GetGenAI - a venture-backed startup pioneering the automation of content review processes for highly regulated industries (remote).

GetGen AI automates content review for highly regulated industries, enabling swift content creation and personalization, which directly boosts revenue. Proved 150%+ ROI; funded by top-tier VCs; founded by former heads of marketing, product, and AI from EY, Snap, and Nvidia.

Currently, the CTO does all the tasks himself, he's seeking a Backend Engineer specialized in Python and experienced in Large Language Model (LLM) prompting to join his team. This role requires a unique blend of technical expertise, innovative thinking, and a deep understanding of AI-driven applications. The successful candidate will be instrumental in designing and implementing scalable backend services that integrate seamlessly with LLM technologies. They will leverage Python to build robust APIs, interact with LLMs, and ensure the optimal performance of AI features. An understanding of modern backend architectures, microservices design, prompt engineering, and a passion for AI and machine learning technologies are essential.

Responsibilities:

• Collaborate with cross-functional product and sales teams to understand requirements and translate AI capabilities into scalable technical solutions.

• Develop and maintain scalable and reliable backend services using Python, with a focus on LLM integration.

• Craft and document clear, efficient HTTP APIs for internal and external use, ensuring seamless data flow between LLM technologies and frontend applications.

• Implement and manage CI/CD pipelines, emphasizing automation and efficient deployment of LLM-powered features.

• Monitor and improve system performance, proactively addressing issues to maintain service quality.

• Engage in continuous learning to stay abreast of AI/ML advancements, applying new knowledge to enhance LLM prompting capabilities and backend service performance.

Requirements:

• Fluent English - you should be able to communicate with team members freely.

• Bachelor’s or Master’s degree in Computer Science, a related technical field.

• 2-4 years of experience as a Backend Engineer.

• Strong experience in backend development with Python and a solid understanding of software architecture principles.

• Demonstrated expertise in LLM prompting, with a portfolio showcasing relevant projects.

• Proficiency in API design and development, with experience in integrating AI/ML services.

• Knowledge of database management (e.g., PostgreSQL, Redis, MongoDB) and experience in ensuring efficient data storage and retrieval in AI-driven applications.

• Familiarity with CI/CD tools and practices, along with experience in deploying and managing cloud-native applications.

• Experience using collaborative development best practices (Git, Agile, Kanban, review processes, CI/CD pipelines).

• Excellent analytical and problem-solving skills, with the ability to leverage data to inform decisions and improve service functionality.

• Strong communication skills, capable of effectively collaborating with technical and non-technical team members.

• Ability to learn and adapt quickly to new technologies.

Nice to have:

• Experience with Google Cloud Platform (GCP) and related tools.

• Familiarity with Infrastructure as Code (IaC) principles.

• Experience with containerization technologies like Docker and Kubernetes.

• Understanding of security best practices for cloud deployments.

Work hours:

Maximum intersection with California, USA (PST time zone). So, if you could overlap with the team till 1 pm PST, that would be amazing.

What we offer:

— Full-time job (8 working hours per day, 5/2). For this vacancy, we will consider only the candidates with no other commitments like studies or plans to combine this job with another. We are looking for a full commitment and dedication.

— Fully remote work. You may be located in almost any country or city, just need a laptop to work from, a great internet connection, and an opportunity to adjust your working hours with the schedule of the team in California.

— Be at the forefront of automating content review with a direct impact on business success.

— Contribute to real-world projects, building robust and scalable backend infrastructure.

— Collaborate with a passionate and supportive team of researchers, engineers and professionals.

— Learn and grow in a dynamic and fast-paced environment with opportunities for ownership and impact.

— Salary will be discussed during the interview. Paid in USD.

Application deadline: ASAP