Architect agentic systems — plan, memory, tool use, multi‑agent delegation, evaluation loops, guardrails. Pick the right abstraction for the problem, not the one on the hype curve.
Push model capability into production. Design prompt and context strategies, tool interfaces, retrieval and reranking, structured output, streaming, and evaluation — across text and multimodal inputs (vision, documents, audio).
Own the evaluation story. Build offline eval sets, online LLM‑as‑judge loops, regression harnesses. Know the difference between a metric that moves your users and a metric that moves only your dashboard.
Squeeze the system. Prompt caching, batching, speculative decoding, model routing, token budget management, latency targets. Know your P50/P99 and why they look the way they do.
Contribute upstream. Read SDK source when docs are thin, open PRs against open‑source agent frameworks, write crisp bug reports when a vendor's orchestration service returns a weird 500.
Mentor and set the bar. Your design reviews, code reviews and technical writing shape how the rest of the team thinks about agents.
Bachelor’s degree in Artificial Intelligence, Computer Science, or a related field.
1+ years of experience as an AI/AI Agent Engineer.
Solid ML fundamentals. You can explain transformers — attention, positional encoding, KV cache, tokenisation, sampling — without hand‑waving. You've read at least a few core papers in full, not just the abstracts.
Deep LLM application experience. Multiple production systems built on top of frontier models (Anthropic, OpenAI, Gemini, open‑weight). You know the practical edge cases: tool‑use stability, structured‑output failure modes, long‑context degradation, prompt‑injection defence, cost control.
Agent systems depth. You've built something with real agent behaviour — planning, memory, tool orchestration, multi‑step execution, error recovery — not a single prompt in a loop. Experience with multi‑agent coordination (delegation, sub‑agent protocols, MCP‑style tool servers) is a strong plus.
Multimodal experience. Hands‑on work with vision‑language models, document AI (OCR, layout, tables), or audio — end‑to‑end from ingest to grounded output.
Strong engineering craft. Python at a senior level — async, typing, testing, packaging, observability. Able to read and navigate a large codebase. Git hygiene that makes reviewers' lives easier.
Production AI engineering. You can take ML, LLM, embedding, vision, or multimodal models from prototype to production — designing APIs and inference services, building RAG/embedding pipelines, containerizing workloads, handling CPU/GPU deployment, and optimizing latency, throughput, reliability, and cost.
AI platform & MLOps experience. Hands‑on experience operating AI workloads in production with model/version management, CI/CD, evaluation gates, observability, autoscaling, rollback, and failure handling. Experience with Docker, Kubernetes/AKS, Azure AI services, GPU inference, or model‑serving frameworks such as vLLM or NVIDIA Triton is a strong plus.
Fluent with modern coding agents. You use Claude Code / Cursor / Copilot / equivalents daily as a force multiplier. You understand where they shine and where they fail, and you can design prompts, context and tool boundaries to get the most out of them.
Communication. Writes and speaks clearly in English.
Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world
Join a dynamic and fast‑growing global company (English‑speaking environment)
Engage in our diverse training programs which surely help strengthen both your personal and professionalism
13th‑month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal
100% monthly salary and mandatory social insurances in 2‑month probation
Meal, Commuting and Parking allowance
Premium health insurance for you and 02 family members
15++ days of annual leave + 1 day of birthday leave
Flexible working time
Free in‑house entertainment facilities and sport activities: football, badminton, yoga, Aerobics….
Vibrant culture: Enjoy team‑building events, company trips, year‑end parties, tech talks, charity & CSR initiatives
Onsite opportunities: short‑term and long‑term assignments
