Senior/Staff Software Engineer - Conversational AI

Back to all rolesSenior/Staff Software Engineer - Conversational AIApplyJob detailsTeam / ExpressAISingaporeFull-timeWe're building production conversational AI — LLM agents that hold real conversations at scale, answer from a grounded knowledge base, and know their limits. We're looking for a hands-on Lead AI Engineer to own it end to end: the AI behavior, the infrastructure, and the full stack around it.We're a small, focused team tackling a big problem — making AI that's accurate, grounded, and trustworthy in production. That means high ownership, fast decisions, and direct impact: what you build ships and runs live.This is a builder-leader role. You write code, make the architecture calls, and set the technical direction for the team.What you'll doOwn the AI system — LLM agents, retrieval-augmented generation (RAG), and guardrails. Drive answer quality, retrieval relevance, and safe behavior.Debug and improve AI behavior — diagnose why a model hallucinated, mis-routed, or responded incorrectly, and design evaluations (LLM-as-judge and others) to measure and prevent it. Turn vague "it answered badly" reports into measured fixes.Lead platform engineering — design and ship the services, data pipelines, and tooling that let the product scale reliably.Own infrastructure as code — Terraform across multiple environments, CI/CD, and a server-less cloud footprint.Build full-stack — backend services, an internal web app, and data-processing pipelines.Own security and data protection — treat it as first-class: data isolation, least-privilege access, encryption, careful handling of credentials and sensitive user data. Security is a core requirement of everything we ship, not an afterthought.Set technical direction — review designs and code, define quality bars, and keep production healthy.Must haveYou've shipped an LLM application to production — agents and/or retrieval-augmented generation (RAG), with guardrails and a vector/embeddings layer. Not just prototypes.Strong prompt engineering and AI debugging — you can reason about model behavior and build evaluations to measure it.Terraform / infrastructure as code and solid AWS depth (serverless compute, NoSQL, event-driven flows, IAM).Full-stack engineering — TypeScript/Node, a modern web framework (React/Next.js), and Python for data work.Strong security and data-protection fundamentals — you build systems that handle sensitive user data safely: data isolation, least-privilege access, encryption, and secrets management.Ownership and technical leadership — able to lead a project and keep a production system reliable.Nice to haveExperience with Amazon Bedrock (agents, knowledge bases, guardrails) — a strong advantage.SaaS / multi-tenant platform design.Production observability and cost optimization for AI workloads.What success looks likeThe AI answers more questions correctly and grounded, and stays within its limits — measured, not guessed.The platform scales smoothly, with safe and repeatable infrastructure changes.#LI-NL1Upload your resume to autofill the applicationUploadFirst name *Last name *Email *Dial code *Phone number *LinkedIn profile *Please upload your resume (preferably as a PDF file) *Click or drag file to uploadSupported file format: .PDF; Maximum file size: 10.49 MB; Maximum file: 1;Application QuestionsAre you currently based in the listed location of the role? *YesNoDo you require visa sponsorship to work in the location listed for the role? *YesNoWhat is your expected base compensation per month? *Your answerThis role is primarily office based and requires at least 4 days in the office per week. Are you comfortable with this arrangement? *YesNoAI disclaimerThis application process may use AI-enabled systems to support candidate evaluation based on factors such as experience, technical skills, and qualifications. All processing is carried out in accordance with applicable data protection, AI governance, and labour laws. Human oversight is maintained at all stages,...