AI Engineer — Healthtech LLMs & Voice Pipelines

AJENTIK AI PTE. LTD.; Singapore; On-site; SGD 60,000 - 110,000; Full time

Benefits offered by this job

Health benefits

Flexible work arrangements

Job summary

Ajentik AI Pte. Ltd. in Singapore is hiring an AI Engineer to build end-to-end LLM pipelines for caregiver conversations, extracting structured clinical fields and producing clinician-ready summaries.

You will work directly with the founders and Clinical Lead, delivering production-ready features with privacy and accuracy at the core. The role emphasizes production-grade engineering, testing, and collaboration with a small team to ship to real users, with opportunities to explore advanced

Qualifications

• 1–4 years of professional software engineering experience.
• At least one LLM-powered feature or product built for real users.
• Knowledge of structured outputs, prompt design and LLM failure modes.
• Habit of writing tests and evaluations, not only prompts.
• Solid fundamentals in APIs, SQL, Git, automated testing and CI.
• Clear written English; strong privacy and safety considerations.

Responsibilities

• Build and improve LLM pipelines end to end: conversation design and prompts.
• Turn caregiver conversations into validated clinical fields with traceability.
• Integrate speech-to-text and text-to-speech into low-latency voice conversations.
• Grow evaluation suite with golden sets, synthetic personas and CI tests.
• Monitor quality, cost, and latency; adjust models and prompts accordingly.
• Develop interoperable outputs (JSON, PDF, HL7 FHIR) for hospitals.

Skills

Python

LLM integration

Testing & CI

APIs

SQL

English communication

Privacy awareness

Education

Degree in computer science or related field

Tools

FastAPI

Pydantic

PostgreSQL

pgvector

Docker

Kubernetes

Supabase

vLLM

Model Context Protocol (MCP)

Job description

Ajentik AI Pte. Ltd. in Singapore is hiring an AI Engineer to build end-to-end LLM pipelines for caregiver conversations, extracting structured clinical fields and producing clinician-ready summaries.

You will work directly with the founders and Clinical Lead, delivering production-ready features with privacy and accuracy at the core. The role emphasizes production-grade engineering, testing, and collaboration with a small team to ship to real users, with opportunities to explore advanced