Platform Engineer Search, Recommendations & AI Platform.

About Netcore Unbxd:

Netcore Unbxd is an AI-powered product discovery platform recognized by Forrester and Gartner as the global leader in Commerce Search and Product Discovery, earning Leader status in Gartner's 2025 Magic Quadrant for the second consecutive year.

We're trusted by billion-dollar retailers like Unilever, Waitrose, Express, Puma, Signet, and Advance Auto Parts to power conversions and revenue through best-in-class product discovery and personalization.

We're at the forefront of Agentic AI in commerce building AI Shopping Assistants and Autonomous Merchandising Agents that redefine how shoppers find what they want.

Curious what it's like to work here? Check out Life at Netcore. Also, please have a look at our Founder's take on where we're headed: https://www.founderthesis.com/p/rajesh-jain-and-netcore-cloud-the.

What you'll do:

As a Senior Software Engineer on the AI Platform team, you will design, build, and operate the core infrastructure that powers AI capabilities across Unbxd's products. Youll work on large-scale backend systems while exploring and productionizing the latest advancements in Generative AI, Agentic AI, vector search, and multimodal retrieval.

Your work will include:

- Designing and building scalable AI platform services and backend systems.

- Developing agentic workflows using modern LLM frameworks.

- Developing services around embedding models, reranking models, and multimodal search.

- Exposing AI models and algorithms as highly available internal services (ISVCs/APIs).

- Designing systems for model lifecycle management, inference, experimentation, and evaluation.

- Building orchestration frameworks for AI workflows and long-running jobs.

- Improving observability, reliability, scalability, and performance of AI infrastructure.

- Collaborating closely with Search, Product, Infrastructure, and Engineering teams to ship production-ready AI features.

- Driving architecture discussions and owning services end-to-end.

What we're looking for:

Must Have:

- 5+ years of experience building large-scale backend or platform systems.

- Strong proficiency in one or more programming languages: Java, Python, or Golang.

- Strong understanding of: Distributed Systems, System Design, Scalability, Performance Optimization, and Concurrency.

- Experience designing and operating microservices in production.

- Hands-on experience with containerized deployments using Docker and Kubernetes.

- Experience with asynchronous systems such as Kafka, RabbitMQ, and event-driven architectures.

- Experience building REST/gRPC APIs and production backend services.

- Strong understanding of cloud-native architectures.

- Strong debugging, analytical, and problem-solving skills.

- Ability to independently own services and drive projects from design through production.

AI Platform Experience:

Candidates should have hands-on experience in one or more of the following areas :

- LLM orchestration.

- Agentic workflows.

- Prompt engineering.

- Embedding models.

- Vector databases.

- Semantic search.

- Model evaluation.

- AI workflow orchestration.

- Model serving.

Practical experience building production AI systems is preferred over academic knowledge.