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:

Principal Software Engineer - Juno

Ho Chi Minh - Viet Nam

Outsource

  • .NET
  • AI

Own the technical vision and architecture of the AI platform - agent orchestration, LLM integration layers, tool/MCP integrations, and the APIs other teams build on Make and document high-impact architectural decisions, navigating trade-offs between velocity, cost, reliability, and flexibility (e.g. model choice, orchestration patterns) Design the platform for multi-tenancy, extensibility, and scale so product teams can adopt AI capabilities without reinventing the foundation Keep the platform ahead of a fast-moving AI landscape: evaluate new models, frameworks, and patterns, and decide what's worth adopting Build production-grade backend services and platform components - this is a coding role, not a pure architect role Develop core capabilities like agent workflows, RAG pipelines, vector search, context management, and safe tool execution Set the bar for engineering quality: testing strategies for non-deterministic AI systems, evals, CI/CD, and code review culture

Negotiation

View details

Senior Software Engineer (C++, Python, AI/LLM)

Ho Chi Minh - Viet Nam

Outsource

  • C/C++
  • Python
  • AI

Provide technical support for global researchers, including diagnosing root causes of technical issues, troubleshooting Python and C++ code, and proposing scalable fixes and improvements. Investigate, debug, and resolve issues in C++ applications and data pipelines, with a strong focus on performance, stability, correctness, and maintainability. Explore and apply AI/LLM-based solutions to improve data processing, workflow efficiency, troubleshooting, documentation, and research support processes. Enrich a wide range of structured and unstructured data into high-quality datasets for quantitative analysis and financial engineering. Enhance data quality and integrity by developing validation tools and frameworks to measure the effectiveness of data enrichment pipelines. Develop a deep understanding of machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors within the data. Generate insights from large-scale datasets and collaborate with research teams to identify opportunities for tradable signals. Design and develop utility tools to automate software development, testing, deployment, and monitoring workflows.

Negotiation

View details

Lead Software Engineer (Distributed Computing)

Ho Chi Minh - Viet Nam

Product

  • Python
  • Backend
  • Data Engineering
  • Spark
  • AI

Convert business goals into technical solutions. Lead research and development efforts to explore innovative methods and propose technical resolutions. Oversee the creation and advancement of an AI-powered software framework to expedite the modernization of complex analytical applications. Take charge of pivotal architectural choices for converting outdated computational tools into scalable cloud-native solutions. Establish technical pathways, engineering benchmarks, and modernization methodologies for AI-assisted software enhancement. Provide guidance on the utilization of AI tools, LLMs, and emerging AI engineering tactics to automate software evaluation, code transformation, validation, and enhancement. Lead technical inquiries into restructuring, decomposition, or re-implementation of existing software systems to effectively function in distributed environments. Collaborate with distributed computing specialists to devise target architectures using Spark-based execution models for extensive data processing. Construct and manage the development of reusable transformation pipelines, automation tools, and engineering frameworks facilitating large-scale software modernization. Develop validation strategies, quality frameworks, and technical evaluation processes to ensure maintained functionality and reproducibility of transformed systems. Influence architectural decisions regarding scalability, maintenance, performance, infrastructure efficiency, and long-term platform progression. Mentor senior and mid-level engineers, evaluate technical designs, and enhance the team's engineering proficiency. Collaborate with domain experts to comprehend application necessities and translate them into scalable, feasible technical outcomes. Prototype and assess new AI-assisted engineering measures to improve transformation velocity, engineering productivity, and software quality. Contribute to the organization's lasting strategy for AI-driven software modernization, distributed computing, and engineering automation.

Negotiation

View details