Lead Backend Engineer
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
Product
Technical Skills:
Ruby, Backend, Python, Java
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Job ID:
J00516
Status:
Close
Related Job:
AI Engineer
Ho Chi Minh - Viet Nam
Product
- AI
- Python
#AI-Powered Insurance Solutions Develop and deploy machine learning models to support insurance recommendation, pricing, risk assessment, and claims automation Build and maintain AI-powered features integrated into our embedded insurance platform - from data pipelines to inference APIs Design and implement RAG (Retrieval-Augmented Generation) pipelines and LLMbased assistants for internal and customer-facing use cases Collaborate with product and engineering teams to translate business requirements into practical AI solutions Participate in the full ML/AI lifecycle: data collection, feature engineering, model training, evaluation, deployment, and monitoring Contribute to our internal AI agent framework - building, testing, and improving multiagent workflows using LangChain, LangGraph, or similar tools Ensure AI models and services meet performance, reliability, and compliance standards in a regulated (insurance) environment Participate in developing CI/CD workflows for AI/ML/Data pipelines. Contribute to Agent Development Toolkits (ADK) and the automated Software Development Life Cycle (SDLC) that accelerate AI-native feature delivery#R&D & Engineering Tasks Research and experiment with state-of-the-art AI/ML techniques and evaluate their applicability to insurance use cases Prototype new AI capabilities quickly, iterate based on feedback, and graduate successful experiments into production Document experiments, model architectures, and engineering decisions clearly for team knowledge sharing Stay current with the AI ecosystem (LLM advances, agent frameworks, tooling) and bring relevant insights back to the team Support Full Stack Engineers in using the AI Development Toolkit (ADK) to develop applications - guiding and enabling their use of the toolkit rather than building the applications yourself - and maintain a basic understanding of the SDLC to help ensure consistent engineering standards across the platform Contribute to and continuously enhance the system knowledge base, ensuring documentation, patterns, and learnings are accessible to the agents
Negotiation
View detailsBackend Engineer
Ho Chi Minh - Viet Nam
Product
- Typescript
- NodeJS
- Python
- AI
Build the core gateway: a unified, OpenAI-compatible API in front of multiple providers (OpenAI, Anthropic, Google, plus self-hosted and OSS models). Own provider routing and reliability: load balancing, automatic failover, and cost and latency-aware routing. Build billing and metering that is correct, not approximate: per-request token accounting, usage ledgers, cost attribution per team, user, and key, budgets, and spend limits. Ship org controls: API key management, per-team and per-user quotas, rate limiting, and RBAC. Handle streaming and performance: low-overhead proxying, streaming responses, connection handling, and caching where it helps. Contribute to the Jan Agent and connect it to the router: route its model and tool calls through the gateway, and make agent traffic first-class in metering, controls, and observability. Make deliberate speed-versus-correctness calls: move fast where iteration is cheap, refuse to cut corners where a bug means a bad charge or a leaked key, and pay down debt on your own initiative.
Negotiation
View detailsAI Transformation Lead
Ho Chi Minh - Viet Nam
Outsource
- AI
Develop a 3-year AI transformation roadmap aligned with business goals in IT outsourcing, product development, and ODC services. Prioritize highest-impact AI use cases in the organization using a build-vs-buy-vs-partner framework. Establish AI governance for model selection, cost management, data privacy, IP protection, and ethical AI guidelines. Implement AI-assisted development workflows for 1,000+ engineers, including AI code generation, review, automated testing, and AI-powered debugging. Drive adoption of AI orchestration platforms to automate repetitive engineering tasks. Create internal AI skills/training programs and a culture of continuous AI experimentation. Measure and report on productivity gains, quality improvements, and time-to-market acceleration from AI adoption. Collaborate with product teams to define AI features for various products. Lead the development of AI Copilots, intelligent assistants, and autonomous agents embedded within products. Guide the architecture of an Ontology-Based AI ERP/MES Platform, including Knowledge Graphs, GraphRAG, and Multi-Agent Systems. Identify new AI-powered product opportunities in logistics, manufacturing, and supply chain to create new revenue streams. Advocate for AI internally, communicate the vision, celebrate wins, and address concerns across all levels. Partner with HR to define new AI-focused roles and refine hiring criteria. Collaborate with ODC/Client Delivery teams to package and sell AI capabilities to existing and new clients. Represent the company externally in conferences, thought leadership, and talent branding to position the company as an AI leader in the IT services industry.