AI Tech Lead, Context and Harness at Money Forward Vietnam

Confirmed open

Lead context-engineering and agent-evaluation pilots for Money Forward Vietnam in Ho Chi Minh City.

Money Forward Vietnam

Location: Ho Chi Minh, Vietnam
Work arrangement: hybrid

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Role overview

Money Forward Vietnam seeks a hands-on AI technical lead to turn context and evaluation standards into working pilots before wider adoption. The role covers knowledge modeling, retrieval, agent tooling and repeatable quality measurement.

Responsibilities

Design and deliver context and harness workstreams; review context formats, ontology models, integrations and evaluation proposals.
Help pilot teams convert knowledge from GitHub, Notion and Slack into agent-ready context, create fixtures and control routing and token budgets.
Prototype a YAML-schema ontology for a domain workflow and validate access to internal or external agent platforms.
Build a repository-native evaluation harness with benchmark tasks, quality gates and CI integration; document pilot evidence and reusable standards.

Qualifications

Practical experience with RAG, retrieval pipelines, context-window management and short- or long-term agent memory.
Ability to connect LLM agents to tools, APIs or MCP servers while setting permissions, sandbox boundaries and verification checks.
Strong software-engineering and Git/CI practice, with enough technical leadership to guide proofs of concept and cross-team reviews.
Experience with knowledge modeling, indexing, hybrid search or context freshness is relevant to the work.

Technology in this role

Java: [HCM] AI Product Builder (Java, .
Kotlin: Principal Java/Kotlin Engineer (Banking .
Golang: [Hanoi] Principal Engineer .
Ruby on Rails: Principal Software Engineer (Ruby on Rails, .
Ruby: Principal Software Engineer (Ruby on Rails, .
LLM: Ability to connect LLM agents to tools, APIs or MCP servers while setting permissions, sandbox boundaries and verification .
RAG: Practical experience with RAG, retrieval pipelines, context-window management and short- or long-term agent .
AWS: [Hanoi] Senior Platform SRE (DevOps, .
Git: Strong software-engineering and Git/CI practice, with enough technical leadership to guide proofs of concept and cross-team .
CAN: • Pilot teams can convert source knowledge and author evaluation fixtures using documented .
Rails: Principal Software Engineer (Ruby on Rails, .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This AI Tech Lead — Context & Harness position at Money Forward Vietnam is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “Money Forward Vietnam seeks a hands-on AI technical lead to turn context and evaluation standards into working pilots before wider adoption. The role covers knowledge modeling, retrieval, agent tooling and repeatable…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “Design and deliver context and harness workstreams; review context formats, ontology models, integrations and evaluation proposals.”; “Help pilot teams convert knowledge from GitHub, Notion and Slack into agent-ready context, create fixtures and control routing and token budgets.”; “Prototype a YAML-schema ontology for a domain workflow and validate access to internal or external agent platforms.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a technology keyword as proof by itself: connect it to the problem you solved, the scale or complexity involved, and what changed after your work. The source may contain additional duties; review it directly before preparing your application.

How to read the requirements. The listed qualifications include “Practical experience with RAG, retrieval pipelines, context-window management and short- or long-term agent memory.”; “Ability to connect LLM agents to tools, APIs or MCP servers while setting permissions, sandbox boundaries and verification checks.”; “Strong software-engineering and Git/CI practice, with enough technical leadership to guide proofs of concept and cross-team reviews.”. Mark each requirement as demonstrated, adjacent experience or a genuine gap, then use a concise example for the first two categories. A strong example explains what you personally owned, how you made trade-offs, how you validated the result and what you learned. If the posting specifies years of experience, language ability, certifications, location or eligibility, address those facts plainly in your CV or application rather than relying on the employer to infer them. Do not claim a qualification from exposure alone. For a requirement you do not meet, describe relevant transferable experience accurately and.

Benefits

Hybrid schedule of two office days and three home-working days, with a flexible weekday start between 8 and 9 a.m.
Full pay during probation; statutory and private health and accident insurance; a 13th-month salary and 16–24 paid days off.
Training and certification support, twice-yearly reviews, health checks, company activities and work equipment.

About Money Forward Vietnam

Money Forward Vietnam is the group’s development base in Vietnam and works with teams across the wider Money Forward business.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-10-09