Company Description
TaloTrace is an AI-powered QA platform that autonomously tests web and mobile applications, discovers issues, and delivers evidence-backed findings your engineering team can act on immediately.
Unlike traditional automation tools that stop at pass or fail, TaloTrace provides a complete Trace for every issue: recorded video, logs, reproduction steps, severity, and supporting evidence.
Job Description
We are looking for an Agentic / Backend Engineer with a primary focus on:
FastAPI, Firebase, and GCP tools for backend services built with Python
Agentic and multi-agent LLM systems that support Growtrics' learning and operations workflows
Backend systems that are automation-friendly, test-friendly, and reliable enough for production use
The candidate must be comfortable working with:
Multi-agentic systems around LLM providers such as OpenAI, Claude, Gemini, and Perplexity, built mainly with Python
Agentic coding harnesses such as Claude Code, Codex, Cursor, or equivalent tools as part of the actual engineering workflow
Backend workflows involving jobs, state machines, retries, data validation, evaluation loops, and human review
Examples of projects you could be responsible for:
Creating a multi-agent system to generate educational videos for users, where coding harnesses like Claude Code or Codex are used to iteratively refine the output autonomously
Building backend workflows for automatic grading, feedback generation, learning path optimization, and AI-assisted review
Designing services that coordinate LLM calls, tools, queues, data stores, and human approval steps
Creating automation and testing systems that use LLMs or agents to simulate user behavior, reproduce bugs, and detect failures
You would also be expected to tackle common engineering problems such as bug fixes,
backend feature upgrades, integrations, test improvements, and operational reliability work.
Skillsets
Soft Skills
Above technical skills, these soft skills and values are a must.
Independence, Initiative and Learning:
In a rapidly evolving AI-assisted coding environment, we extremely value the ability to learn new technologies and spearhead initiatives independently. You must solve problems logically and quickly by yourself. This includes high mastery over power tools such as ChatGPT, Perplexity, Claude Code, Codex, Cursor, and similar agentic coding harnesses.
Communication:
The ability to communicate one's own ideas effectively in English. If there is a problem with the codebase, architecture, data, or project direction, we prefer our team members to raise it promptly.
Creativity:
New and creative ideas that streamline business processes, feature pipelines, grading workflows, or engineering automation are welcome.
Agility:
Project requirements might be ever changing. Team members should be able to follow changing plans with good spirit.
Result Oriented:
Everyone is assessed based on the quality and timeliness of their output.
Technical Skills
Fast learners with some experience will be prioritized over slow learners with more experience. These are some of the skill sets that we are looking for.
Strong hands-on experience, or clear depth, building agentic and multi-agent LLM pipelines in Python
Required proficiency using agentic coding harnesses such as Claude Code, Codex, Cursor, or equivalent tools to do real implementation work
Experience working with multiple LLM providers such as OpenAI, Claude, Gemini, and Perplexity
Familiarity with agent orchestration frameworks, tool-calling, memory, and evaluation loops
1+ year of experience working with agentic LLM systems in production or production-like environments
2-8 years of experience building backend applications with FastAPI, with Flask or Django also acceptable
Experience designing backend systems that are automation- and test-friendly
Experience with Firebase, GCP tools, Cloud Run, Firestore, Pub/Sub, Cloud Tasks, or similar cloud services
Strong testing mindset with high standards for test quality, documentation, observability, and debuggability
Experience using LLMs to simulate user behavior, generate tests, detect bugs, and reproduce failures
Comfortable working across QA systems, feature development, integrations, operations, and bug fixing
Experience with the following is preferred:
Vector databases, such as Qdrant, Weaviate, or Milvus
Graph databases, such as Neo4j or Nebula Graph
Set-up and maintenance of DevOps systems, including CI/CD, observability, and alerting
Integration with payment gateways such as Airwallex or Stripe
Experience training or improving computer vision models or VLMs
Experience with Flutter-facing API design
Years of Experience
We are open to candidates with 2 - 8 years of experience building backend systems,
agentic systems, or end-to-end products.
We are looking to build a team of engineers with different levels of experience. If you have the technical capabilities and soft skills mentioned, we highly recommend applying for an interview. English is not mandatory for Non - leader positions.
Process
Round 1 - Coding Challenge (7 - day)
Round 2 - HR call
Round 3 - Tech Lead Interview
Round 4 - CTO Interview (Applied with Leaders positions only)
Why Join Us
Competitive compensation package, including 100% salary during probation
13th-month salary & performance bonuses
Premium health care
14 annual leave days + 6 sick days
Flexible working hours
Lenovo / MacBook provided
Smart Casual dress code (comfortable but professional)
Full compliance with the Vietnam Labor Code
Employee well-being perks (gym membership, social events, Thursday drinks, fruit served twice a week)
Opportunity to work with global stakeholders
Dynamic, international, and creative work environment
Pantry stocked with snacks & beverages
Recognition based on skills and performance
Strong learning & career development opportunities
Thông tin chung