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AI Full Stack Engineer

Exclusive opportunity

Onsite

AI Full Stack Engineer

nSearch Global

AI Full Stack Engineer

Skills

DockerNestReactNodeTypescriptPythonPostgreSQLKafkaRedisRabbitMQMachine LearningAIGDPRFastAPI

10 days ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

13 October 2026

What they need


Responsibilities:

  • Take ownership of the existing repositories, environments and vendor handover documentation
  • Understand the current architecture, dependencies and technical debt before proposing major changes
  • Build and maintain functionality across frontend, backend, database and third-party integrations
  • Improve API performance, data access, query efficiency and application reliability
  • Develop production-grade LLM features and gradually expand agentic capabilities
  • Maintain and extend the Python / FastAPI scoring service
  • Maintain and improve the React-based Chrome Manifest V3 Interview Copilot
  • Build and maintain reliable BullMQ / Redis workflows for parsing, scoring, AI reports and other background work

Requirements:

  • Degree with minimum 5-7 years of relevant software engineering experience, with evidence of shipping and supporting production applications
  • Strong TypeScript and Node.js experience; NestJS experience is strongly preferred
  • Strong PostgreSQL fundamentals including data modelling, migrations, indexing and query optimisation
  • Experience with background-job / queue systems such as BullMQ, RabbitMQ, SQS, Kafka, Celery or similar
  • Practical Redis experience; Python experience sufficient to maintain and troubleshoot production services.
  • Production LLM application experience: structured outputs, embeddings / vector search, tool calling, evaluation, retries, tracing and guardrails.
  • Hands-on Docker / cloud / deployment experience and willingness to own production issues directly.
  • Experience integrating external APIs and OAuth-based services; Comfortable debugging across multiple systems instead of escalating each layer to a different specialist
  • Good to have experience in LangChain, LangSmith or comparable LLM application tooling; Experience implementing or evaluating agentic workflows in production; ML model integration rather than purely research-oriented ML work

Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job / position title applied “AI Full Stack Engineer”

Only shortlisted candidates will be notified.


EA License Number: 10C3636

EA Personnel Name: Arora, Hardeep

EA Personnel Registration Number: R1111454

By submitting your resume and cover letter to apply for our job opening, you confirm that you have read the Data Protection Notice for Job Applicants (https://www.nsearchglobal.com/dp-notice/job-applicants) and you consent to the collection, use, and disclosure of your personal data for the purpose of verifying and evaluating your job application. Additionally, you have to notify and obtain consent from all individuals listed as your references to their data being collected and disclosed for the purposes related to your job application

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