Technical Manager

JOB DESCRIPTION

Develop strategy for products, technology, human resource, etc to cover The Product with the entire Vietnamese market;
Technical ownership for the quality and timeline of the multiple-technology projects;
Work closely with the cross teams to make sure that the standards and practices are followed;
Identify and resolve risks, issues, and conflicts to ensure quality control throughout the project life cycle;
Hands-on in development and capable of troubleshooting technical issues;
Proven experience in project estimation, budget control, people, and risk management;
Play a role as a Manager and motivate the team members by providing them with supportive and professional mentoring; join to build up Our Client’s working culture;
Take part in the talent selection process of the company as a functional interviewer, and take the initiative in improving workflow, and client outcomes.

JOB REQUIREMENT

Master’s degree or above in Computer Science or related technical fields;
5+ years of experience in related industries;
Experience with AI, Natural Language Processing; Speech Processing, or Machine Learning;
A hands-on character is a must;
Experienced in tech product development from the early to scale-up stage is a big advantage;
Experienced in managing tech teams (AI Scientist, Android, iOS, Linux – based, ...);
Strong interpersonal skills to cooperate with various stakeholders, including senior management, team members, and other departments. 

WHAT'S ON OFFER

Competitive salary packages (13th-month salary Bonus and Year-end Bonus)
100% monthly basic salary and mandatory social insurances in 2-month probation
14-16 days of Annual Leave
Premium health insurance for employee and family members
Lunch Allowance
Company birthday bonus, Annual Health-check, Annual salary review.
Team building, training, and club activities (Billiards, football, basketball, run....).
Working at "smartest Homebase": openness, friendliness Campus with a wide range of amenities available to all staff, including The Coffee House, Seven-Eleven, a gym, a swimming pool, a sauna, and even a kid yard.

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Machine Learning, Backend, AI

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J01269

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 details

Backend 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 details

AI 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.

Negotiation

View details