Backend Engineer (AI) HUSA Client at Greenfix Property Care

Ho Chi Minh City, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, Java, Asynchronous Programming, API Design, AWS, GCP, Azure, Docker, Kubernetes, Terraform, PostgreSQL, MongoDB, Kafka, Observability, Security

Industry

Household Services

Description

Company overview Our partner is a U.S.-based pharmaceutical company with an annual revenue of $400 million, developing agentic AI solutions that enable machines to speak to data. In Vietnam, the team focuses on building cutting-edge AI and data platforms that enhance traditional Business Intelligence (BI) systems with proactive, intelligent technology. Imagine a chat interface that not only retrieves data but also allows users to interact intuitively with structured information, receive in-depth analyses, and generate actionable business insights all powered by intelligent agents. Job overview and responsibility - Architect and Scale Core Systems: Lead the design, implementation, and optimization of highly scalable, fault-tolerant backend services and non-blocking APIs using Python (FastAPI) or Java (Vert.x, Quarkus). Ensure services handle high throughput with minimal latency. - End-to-End Product Delivery: Drive the full lifecycle of product features from requirements gathering and prototyping through testing, deployment, and iteration working closely with product managers, UX designers, and DevOps. - Champion Asynchronous Patterns: Build and maintain event-driven, asynchronous processing pipelines (e.g., message queues, pub/sub) to support real-time data ingestion, processing, and integrations. - Performance & Reliability: Establish and enforce best practices for monitoring, observability, and automated testing. Identify bottlenecks and implement caching, connection pooling, backpressure, and rate-limiting strategies to sustain 99.9%+ uptime. - Comprehensive Service Monitoring: Design, deploy, and maintain end-to-end observability solutions using Prometheus for metrics collection and Grafana for visualization and alerting. - AI & RAG Applications: Architect Retrieval-Augmented Generation (RAG) solutions and intelligent agents that solve real-world problems integrating vector stores, LLM APIs (e.g., OpenAI), and custom prompting frameworks. - Mentorship & Collaboration: Provide technical leadership and mentorship to mid-level engineers, foster a culture of code quality, and collaborate across cross-functional teams to drive continuous improvement. Required skills and experiences - 5-8+ years of software engineering experience, with a proven track record of building and operating production-grade, scalable applications. - AI/ML Collaboration: Familiarity with embedding-based search, prompt engineering, chaining, and orchestration of multi-LLM workflows. - Leadership & Communication: Excellent verbal and written English skills; demonstrated ability to influence technical direction and collaborate effectively across teams. - Expertise in Python & FastAPI or Java (Vert.x, Quarkus): Deep familiarity with asynchronous programming (async/await in Python or non-blocking event loops in Java), concurrency models, and profiling/tuning of services. - API Design Mastery: Hands-on experience building RESTful, GraphQL, or gRPC APIs that support high request volumes; strong understanding of HTTP/2, WebSockets, and protocol optimizations. - Cloud & Infrastructure: Proficient with AWS, GCP, or Azure; containerization with Docker; orchestration using Kubernetes/Helm; Infrastructure-as-Code (Terraform, CloudFormation). - Data Storage & Caching: Solid background in relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB) databases; designing data schemas for performance and scalability. - Asynchronous Ecosystems: Experience with message brokers (Kafka, RabbitMQ, AWS SQS), task queues (Celery, AWS Lambda) or Java equivalents, and stream-processing frameworks. Preferred skills and experiences - RAG & Agent Development: Practical experience implementing Retrieval-Augmented Generation pipelines, vector search (e.g., Pinecone, Weaviate), and building autonomous agents with LangChain or similar frameworks. - Observability & Security: Strong grasp of logging, tracing (OpenTelemetry), metrics (Prometheus/Grafana), and security best practices (OAuth2, JWT, encryption). Why Candidate should apply this position - Attractive cash salary with upside potential from equity - 13th month bonus - Fast-moving product-culture - Work in an AI first environment Report to Chief Digital Officer Interview process 1 Screening Interview (Vietnamese), 1 Test, 1 Fit Interview with Chief Digital Officer (English)

Responsibilities

Lead the design and implementation of scalable backend services and APIs. Drive the full lifecycle of product features while ensuring performance and reliability.