Fullstack Software Engineer LLMxData Platform/US Co.

Join us in revolutionizing how businesses interact with data! We&039;re the Vietnam- based AI team of a $400M/year US healthcare company building a cutting- edge platform that augments Business Intelligence with Agentic AI. Imagine a chat interface that doesn&039;t just fetch data, but allows users to interact with structured information intuitively, receive deep- dive analyses, and get actionable business suggestions – all powered by intelligent agents. Our ultimate vision is to replace traditional Data Analysis and BI with a smarter, more proactive AI- driven solution. If you&039;re passionate about using LLMs to build the future of data analytics, this is your opportunity.
Bonus: We provide a bonus to compensate candidates giving up a 13th month bonus leaving a job mid- year.
Key Responsibilities

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.
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.
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.
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.
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.
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.

Yêu cầu công việc

Required Qualifications

Asynchronous Ecosystems: Experience with message brokers (Kafka, RabbitMQ, AWS SQS), task queues (Celery, AWS Lambda) or Java equivalents, and stream- processing frameworks.
Cloud & Infrastructure: Proficient with AWS, GCP, or Azure; containerization with Docker; orchestration using Kubernetes/Helm; Infrastructure- as- Code (Terraform, CloudFormation).
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.
5+ years of software engineering experience, with a proven track record of building and operating production- grade, scalable applications.
Data Storage & Caching: Solid background in relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB) databases; designing data schemas for performance and scalability.

Preferred Qualifications

AI/ML Collaboration: Familiarity with embedding- based search, prompt engineering, chaining, and orchestration of multi- LLM workflows.
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.
Leadership & Communication: Excellent verbal and written English skills; demonstrated ability to influence technical direction and collaborate effectively across teams.
Observability & Security: Strong grasp of logging, tracing (OpenTelemetry), metrics (Prometheus/Grafana), and security best practices (OAuth2, JWT, encryption).

Mission- driven startup culture (less politics) in a growing company ($400M in annual revenues!)
Leaving bonus: We provide a bonus to compensate candidates giving up a 13th month bonus leaving a job mid- year.
Build with a great team at the frontiers of AI with strong focus on learning
Opportunities to rotate to our US office (if desired)
Great compensation + 13th month bonus

Cập nhật gần nhất lúc: 2025-07-03 00:20:02