Backend Engineer (AI) HUSA Client

Company overview Our partner is a U. -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. 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. , 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. 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. , 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. 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. , 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). 000000.