Senior Python Engineer

12025-12-31

Responsibilities

Design, build, and maintain production-grade LLM-powered features end-to-end (from prompt design to monitoring in production).
Own the LLM integration layer: multi-provider routing (OpenAI, Anthropic, Cohere, Azure, Jina, etc.), intelligent fallbacks, latency optimization, cost control, and caching strategies.
Design and harden complex prompt templates, function-calling/tool-calling schemas, and JSON output structures for various internal services (classification, generation, summarization, agents).
Build and improve async/event-driven backend services on AWS Lambda, Step Functions, SQS, EventBridge, and API Gateway.
Develop and maintain data pipelines between MongoDB, S3, vector databases (Pinecone/Qdrant/Weaviate), and internal data-fabric.
Extend and harden browser automation & web scraping systems (Playwright-based) and multimodal preprocessing pipelines (images/video → embeddings or direct model input).
Debug, trace, and fix LLM output issues in production (hallucinations, format errors, bias, safety).
Collaborate with product and data teams to productionize new AI capabilities quickly and safely.
Contribute to internal AI framework, shared libraries, and best practices around prompt engineering, evaluation, and observability.
Occasionally interact directly with enterprise clients to gather requirements or demo new features.

At least 05 years of professional software engineering experience
Advanced Python proficiency (async/await, typing, pytest, clean code)
Production experience with MongoDB and major AWS services (Lambda, S3, CloudWatch, IAM, Step Functions, DynamoDB Streams)
Strong applied knowledge of Large Language Models and prompt engineering
Proven hands-on experience integrating and routing multiple LLM providers in production
Deep familiarity with function calling / tool calling, structured output, and prompt hardening techniques
Solid experience with async/event-driven architectures and serverless patterns on AWS
Comfortable with browser automation (Playwright/Selenium) and large-scale web scraping
Basic understanding of vector databases and RAG patterns

Experience with multimodal models (GPT-4o, Claude 3, Gemini 1.5, Llama 3.2 Vision)
Previous work on MCP protocol or similar internal messaging/control protocols
Contributions to open-source AI/tools projects
Client-facing or consulting experience
Familiarity with Jira, Confluence, and Agile ceremonies

Attractive and competitive performance-based compensation package
Generous year-end 13th-month bonus
Loyalty and annual dedication rewards
12 annual leave days, 11 public holidays, 1 Christmas day off and 5 sick leave days
Flexible check-in time, 1-day remote work per week, and the freedom to work from any of our offices in Da Nang, Hue, or Ha Noi
Comprehensive healthcare package and annual health check-ups
Team-building allowance, Annual company trips, and Gathering Party every Thursday for a fun and connected workplace
Sports & hobby clubs with football, badminton, biking, running, chess, or music band groups
Continuous learning & development with exclusive technical & soft skills training, English classes, and technical clubs
Financial aid for marriage, newborns, and bereavement to support you through every stage of life