Ecomtent

Benefits:

• Impact: Be a foundational team member, shaping our product, technology, and company direction.

• Ownership: Receive meaningful equity and a stake in our success.

• Innovation: Work on cutting-edge Generative AI technology revolutionizing how products are optimized for AI-powered search engines

Experience Requirements:

• 5+ years

Other Requirements:

• Hands-on full-stack engineering experience, with a strong track record in building scalable systems.

• Advanced proficiency in Javascript/Typescript, React, Node.js, and Python.

• Familiarity with AWS technologies (Lambda, DynamoDB, SQS, and API Gateway) or willingness to learn rapidly.

• A self-starter who thrives in fast-paced, dynamic environments, and is eager to take ownership of projects from start to finish.

• Capable of mentoring others and driving technical excellence within the team.

• Passionate about AI/ML and excited to contribute to its application in e-commerce.

• Excited by the opportunity to define and build a category-defining SaaS product

Responsibilities:

• Architect and develop scalable, full-stack applications to power our AI-driven platform.

• Lead development of new features and tools, including AI-powered real-time optimization and content generation capabilities.

• Drive technical decision-making, influencing our architecture and ensuring scalability, reliability, and performance.

• Work on advanced cloud-native systems using AWS technologies (Lambda, DynamoDB, SQS, and API Gateway).

• Champion code quality, testing, and best practices across the team.Mentor junior engineers and contribute to building a high-performing technical team

Benefits:

• As an early member of our team, you'll have opportunities to continue with us on the permanent position after the internship.

• Ecomtent will provide mentorship and access to cloud infrastructure resources. Our team has expertise in AI research and software engineering. Candidates will be supported to work on the cutting-edge technologies.

• Hybrid work schedule

Other Requirements:

• Hands-on experience in both front-end and back-end web development.

• Proficiency in Javascript/Typescript, React, Nodejs, Python.

• Familiarity with AWS technologies such as Lambda, DynamoDB, SQS, and API Gateway is a plus. While deep expertise is not expected, a willingness to learn and work with these services is essential.

• Proven ability to take ownership of features from end-to-end and comfortable learning new tools or technologies as needed.

• Passion for AI/ML and its applications

Responsibilities:

• Create engaging and responsive user interfaces using React and Typescript, ensuring optimal user experiences and performance.

• Design and develop scalable and high-performance AI applications integrated with external APIs.

• Take ownership of the creation of new customer-facing features and product experiences.

• Improve web applications and cloud infrastructure to ensure speed and scalability.

• Continuously innovate and collaborate in a fast-paced, cutting-edge research environment

Benefits:

• Innovation: Work on cutting-edge Generative AI technology revolutionizing how products are optimized for AI-powered search engines

• Impact: Be a foundational team member, shaping company R&D efforts.

• Resources: Access to advanced cloud platforms and computational resources.

• Ownership: Receive meaningful equity and a stake in our success

Education Requirements:

• Research experience in Computer Science, AI, or related fields, with a focus on natural language processing, generative AI, or multimodal learning

Other Requirements:

• Strong programming skills in Python, with expertise in frameworks such as PyTorch or TensorFlow.

• Hands-on experience with cloud platforms like AWS and Google Cloud for AI model deployment.

• A demonstrated ability to translate cutting-edge research into practical applications.

• Desirable: familiarity with the e-commerce domain or prior experience optimizing content for search engines

Responsibilities:

• Research and develop advanced techniques to improve product ranking and brand visibility within AI-driven search engines.

• Innovate in areas such as LLMs, RAG, diffusion models, and controllable image generation to enhance e-commerce workflows.

• Fine-tune and deploy pre-trained models for specific e-commerce use cases.

• Build scalable pipelines for data collection, model training, and real-time inference on cloud infrastructure.

• Analyze AI search engine behavior (e.g., Amazon Rufus, ChatGPT Search Google Gemini) to identify optimization opportunities