Senior Backend Engineer
Posted Updated 3
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Summary
Senior hands-on backend engineer in Singapore building and maintaining Python/FastAPI services and AI-powered applications: integrating LLM APIs, prompt orchestration, multi-agent workflows, plus database design, testing, CI/CD, and cloud deployment. Requires 5+ years backend experience, including 2+ years on AI applications, and English/Chinese communication.
About the Position
We are looking for a Senior BackendEngineer to design, develop, and maintain backend services and AI-poweredapplications. You will deliver new features, integrate AI capabilities, andimprove the reliability, performance, and maintainability of existing systems. This is a senior, hands-on individualcontributor role. You will write code, contribute to architectural decisions,and collaborate with cross-functional teams to turn product requirements andemerging AI capabilities into production-ready solutions. Responsibilities
Backend Development and Maintenance
. Build and maintain scalablePython services and secure RESTful APIs using FastAPI. . Own features from technicaldesign and implementation through testing, deployment, and ongoing support. . Extend existing applications,troubleshoot production issues, refactor code, and manage dependency upgradeswhile preserving API compatibility. . Design and optimize databaseaccess, caching, and asynchronous processing. . Implement authentication,authorization, input validation, and reliable error handling. AI Application Development
. Integrate LLMs and other AIservices through provider APIs and SDKs, creating reusable interfaces forapplication teams. . Design reliable APIs and toolinterfaces for AI applications, with well-defined input/output schemas,validation, and error handling. . Develop AI workflows usingprompt orchestration, structured outputs, tool calling, and streamingresponses. . Manage context limits, ratelimits, timeouts, retries, and provider failures to support reliable productionuse. . Evaluate model and promptchanges against representative test cases, balancing output quality, latency,and cost. . Design and develop multi-agentsystems and workflows, where appropriate, to address business requirements andautomate complex tasks. Quality Delivery and Collaboration
. Write automated tests andmaintain regression coverage for backend services and AI integrations. . Improve logging, metrics, andtracing to diagnose failures and monitor service performance and AI usage. . Maintain CI/CD pipelines andcontainerized deployments in collaboration with infrastructure teams. . Conduct code reviews, documenttechnical decisions, and mentor junior engineers. . Partner with product, frontend,AI, and infrastructure teams to clarify requirements and deliver maintainablesolutions. Must Have
.
5+ years of professional backend development experience, including2+ years developing AI-powered applications or services , with demonstrated ownership of service design, productiondeployment, and ongoing maintenance. .
Strong Python and FastAPI expertise ,including asynchronous programming, type annotations, Pydantic, dependencyinjection, and RESTful API design. . Practical experienceintegrating AI APIs or SDKs, including prompt design, structured outputs, andstreaming or asynchronous workflows. . Understanding of common LLMchallenges, including context management, hallucinations, prompt injection,rate limits, and token costs. .
Hands-on public cloud experience , suchas AWS, Azure, or GCP, including deploying and operating backend applications. . Solid database skills withPostgreSQL or another relational database, including data modeling and queryoptimization. . Working knowledge of secure APIdesign, authentication and authorization, and secrets management. . Experience designing reliablebackend services and external API integrations, including concurrency control,timeouts, retries, idempotency, and rate limiting, with the ability to explaindesign tradeoffs. . Experience with pytest orequivalent testing tools, Git, CI/CD, and Docker. . Strong problem-solving skillsand the ability to independently navigate, extend, and improve an existingcodebase. .
Strong written and verbal communication skills in both English andChinese , with the ability to explain technicaldecisions and tradeoffs across teams. Nice to Have
.
AWS experience , particularly with S3,SageMaker, DynamoDB, ECS, CloudWatch, or Secrets Manager. .
Frontend development experience with Vue or React , including TypeScript or JavaScript. . Experience with agentframeworks such as LangGraph, Pydantic AI, Claude Agent SDK, or comparabletools, including multi-agent orchestration, task delegation, and contextsharing. . Experience withretrieval-augmented generation (RAG), embeddings, and vector databases such aspgvector. . Experience deploying local orself-hosted LLMs using tools such as vLLM, Ollama, or llama.cpp. . Experience with multimodal AI,including image, audio, or 3D generation.
We are looking for a Senior BackendEngineer to design, develop, and maintain backend services and AI-poweredapplications. You will deliver new features, integrate AI capabilities, andimprove the reliability, performance, and maintainability of existing systems. This is a senior, hands-on individualcontributor role. You will write code, contribute to architectural decisions,and collaborate with cross-functional teams to turn product requirements andemerging AI capabilities into production-ready solutions. Responsibilities
Backend Development and Maintenance
. Build and maintain scalablePython services and secure RESTful APIs using FastAPI. . Own features from technicaldesign and implementation through testing, deployment, and ongoing support. . Extend existing applications,troubleshoot production issues, refactor code, and manage dependency upgradeswhile preserving API compatibility. . Design and optimize databaseaccess, caching, and asynchronous processing. . Implement authentication,authorization, input validation, and reliable error handling. AI Application Development
. Integrate LLMs and other AIservices through provider APIs and SDKs, creating reusable interfaces forapplication teams. . Design reliable APIs and toolinterfaces for AI applications, with well-defined input/output schemas,validation, and error handling. . Develop AI workflows usingprompt orchestration, structured outputs, tool calling, and streamingresponses. . Manage context limits, ratelimits, timeouts, retries, and provider failures to support reliable productionuse. . Evaluate model and promptchanges against representative test cases, balancing output quality, latency,and cost. . Design and develop multi-agentsystems and workflows, where appropriate, to address business requirements andautomate complex tasks. Quality Delivery and Collaboration
. Write automated tests andmaintain regression coverage for backend services and AI integrations. . Improve logging, metrics, andtracing to diagnose failures and monitor service performance and AI usage. . Maintain CI/CD pipelines andcontainerized deployments in collaboration with infrastructure teams. . Conduct code reviews, documenttechnical decisions, and mentor junior engineers. . Partner with product, frontend,AI, and infrastructure teams to clarify requirements and deliver maintainablesolutions. Must Have
.
5+ years of professional backend development experience, including2+ years developing AI-powered applications or services , with demonstrated ownership of service design, productiondeployment, and ongoing maintenance. .
Strong Python and FastAPI expertise ,including asynchronous programming, type annotations, Pydantic, dependencyinjection, and RESTful API design. . Practical experienceintegrating AI APIs or SDKs, including prompt design, structured outputs, andstreaming or asynchronous workflows. . Understanding of common LLMchallenges, including context management, hallucinations, prompt injection,rate limits, and token costs. .
Hands-on public cloud experience , suchas AWS, Azure, or GCP, including deploying and operating backend applications. . Solid database skills withPostgreSQL or another relational database, including data modeling and queryoptimization. . Working knowledge of secure APIdesign, authentication and authorization, and secrets management. . Experience designing reliablebackend services and external API integrations, including concurrency control,timeouts, retries, idempotency, and rate limiting, with the ability to explaindesign tradeoffs. . Experience with pytest orequivalent testing tools, Git, CI/CD, and Docker. . Strong problem-solving skillsand the ability to independently navigate, extend, and improve an existingcodebase. .
Strong written and verbal communication skills in both English andChinese , with the ability to explain technicaldecisions and tradeoffs across teams. Nice to Have
.
AWS experience , particularly with S3,SageMaker, DynamoDB, ECS, CloudWatch, or Secrets Manager. .
Frontend development experience with Vue or React , including TypeScript or JavaScript. . Experience with agentframeworks such as LangGraph, Pydantic AI, Claude Agent SDK, or comparabletools, including multi-agent orchestration, task delegation, and contextsharing. . Experience withretrieval-augmented generation (RAG), embeddings, and vector databases such aspgvector. . Experience deploying local orself-hosted LLMs using tools such as vLLM, Ollama, or llama.cpp. . Experience with multimodal AI,including image, audio, or 3D generation.