Job Description : AI Engineer - AI Integration for E-commerce Catalog Platform

Position Summary :

We are seeking a highly skilled and motivated engineer to join our team, focusing on developing and scaling a next-generation e-commerce catalog platform with integration of cutting-edge AI technologies, including Large Language Models (LLMs). This role combines expertise in Python and optimally Java backend development, production-scale architecture, and AI/ML applications to create data-intensive solutions for data pipelines, data gathering solutions, catalog optimization. and to power different business use cases. The ideal candidate will have a strong background in backend engineering, AI-driven solutions.

Key Responsibilities :

1. Technical Excellence and Architecture :

- Be part of the design, development, and deployment of scalable, production-grade platforms for e-commerce catalog operations.

- Build solutions using Python or Java backend systems, ensuring scalability, fault tolerance, and maintainability.

- Collaborate with the engineering team, fostering technical excellence and best practices.

- Drive cross-functional collaboration to align technical solutions with business goals.

2. Backend Development and Platform Scaling :

- Build and maintain robust backend systems using Python or Java Spring Framework (Spring Boot, Spring Cloud).

- Develop APIs and microservices to handle high volumes of data in real-time with low latency.

- Optimize platform performance to support large-scale catalogs and global user traffic.

- Ensure high availability and fault tolerance for critical catalog operations.

3. AI and Machine Learning Integration :

- Design and implement solutions leveraging Large Language Models (LLMs), such as OpenAI GPT APIs or similar frameworks.

- Fine-tune and optimize LLMs for performance, accuracy, and relevance in e-commerce applications.

- Build and maintain RAG (Retrieval-Augmented Generation) systems and vectorized databases for enhanced AI capabilities.

- Collaborate with data science teams to deploy AI/ML models for catalog optimization, personalization, and predictive analytics.

4. Data Engineering and Pipelines :

- Work with data engineers to design and optimize data pipelines, ensuring the availability and quality of training datasets.

- Develop scalable systems to process and store large volumes of catalog data.

- Leverage big data technologies like Hadoop, Spark, or Kafka for efficient data processing and real-time synchronization.

5. Cloud and DevOps :

- Deploy and manage backend services and ML models on cloud platforms like AWS, GCP, or Azure.

- Set up and optimize CI/CD pipelines for seamless deployments and updates.

- Monitor system and model performance, ensuring smooth operations and rapid troubleshooting.

6. Collaboration and Stakeholder Engagement :

- Partner with product management, business development, and engineering teams to define platform requirements and AI/ML solutions.

- Communicate complex technical concepts to non-technical stakeholders effectively.

- Stay updated on industry trends in AI, ML, and backend development to drive innovation.

Required Qualifications : BE/B TECH in Computer Science or Equivalent

Technical Skills :

Backend Development :

- 4+ years of experience in Python / Java development, including expertise in Spring Boot, microservices, and RESTful APIs.

- Experience in designing and scaling production-grade platforms for high-volume applications.

AI/ML Expertise :

- Proficiency in integrating LLMs like OpenAI GPT and frameworks such as Hugging Face Transformers.

- Hands-on experience with TensorFlow, PyTorch, or similar tools.

Data Engineering :

- Strong knowledge of big data technologies like Hadoop, Spark, or Kafka.

- Familiarity with RAG systems, vectorized databases, and retrieval-based AI.

Cloud and DevOps :

- Proven experience with cloud platforms (AWS, Azure, GCP) and containerization tools like Docker and Kubernetes.

- Expertise in CI/CD pipelines and system monitoring.

Professional Experience

- 4+ years of experience in backend development, machine learning, and NLP applications.

- Proven track record of delivering scalable, fault-tolerant platforms and AI-powered solutions.

Soft Skills :

- Strong leadership, decision-making, and problem-solving abilities.

- Excellent written and verbal communication skills.

- Ability to thrive in a fast-paced, collaborative environment.

Preferred Qualifications :

- Advanced certifications in machine learning, cloud computing, or AI technologies.

- Experience in e-commerce catalog systems, including product onboarding, search optimization, and personalization.

- Contributions to open-source projects or active participation in tech communities.

What We Offer :

- A collaborative environment to work on cutting-edge AI and backend technologies.

- Opportunities to lead and shape the future of e-commerce catalog platforms.

- Competitive compensation and benefits package.

- Access to advanced tools and frameworks in AI, cloud, and backend development.

- This is your opportunity to lead the development of a state-of-the-art, AI-integrated e-commerce catalog platform. If you're ready to combine your expertise in Python or java development, architecture, and AI, we want to hear from you!