Responsibilities

Backend Engineering

• Design, build and maintain scalable backend services using Python.
• Develop new product features and reusable backend architectures.
• Build reliable APIs, integrations and business logic.
• Improve system performance, reliability, security and maintainability.
• Identify technical bottlenecks and continuously improve the platform.
• Participate in architecture discussions and technical decision-making.
• Expose existing system capabilities through clear, secure and well-structured interfaces.

AI Product & Agent Engineering

• Build production-ready product features powered by large language models.
• Integrate LLMs into existing products, workflows, backend services and data systems.
• Expose complex business logic and system capabilities to AI models through structured APIs, tools and agent interfaces.
• Design reliable AI workflows using tool calling, structured outputs, retrieval and multi-step agent processes.
• Contribute to prompt design, context management and model selection.

Cross-functional Collaboration

• Collaborate closely with Product, Frontend and other engineers.
• Translate product requirements into robust technical solutions.
• Write clean, maintainable, well-tested and well-documented code.
• Share knowledge across teams and continuously improve engineering standards.
• Take ownership from problem definition through implementation and production operation.

Skills

Core Skills

• Strong Python programming skills.
• Experience building and operating production software.
• Good understanding of object-oriented programming and software design principles.
• Solid SQL knowledge.
• Experience with AWS.
• Experience designing or consuming REST APIs.
• Experience with Git and CI/CD.
• Strong analytical and problem-solving skills.
• Ability to work independently and take ownership.

Nice to Have

• Experience with ETL or ELT pipelines.
• Experience with dimensional data modelling or Medallion Architecture.
• Experience with Docker and Kubernetes.
• Familiarity with GraphQL or Terraform / Infrastructure as Code.
• Experience with ClickHouse, Redshift or other analytical databases.
• Experience building LLM-backed product features, RAG, embeddings or agent frameworks (e.g. MCP).