AI Engineer (Agentic LLM Systems)

N/A

Nộp Đơn Ứng Tuyển

Địa điểm

Hồ Chí Minh

Ngày cập nhật
17/03/2026
Ngành nghề
CNTT - Phần mềm, Ngân hàng, Tài chính / Đầu tư
Hình thức
Nhân viên chính thức
Cấp bậc
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Lương
Thỏa thuận
Kinh nghiệm
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Số lượng
1
Hết hạn nộp
16/04/2026

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Mô tả Công việc

About the Role

We’re looking for an experienced AI Engineer who is passionate about building intelligent, tool-using agents leveraging cutting-edge LLM orchestration frameworks. You will be a core contributor to the design, development, and deployment of agentic systems that combine reasoning, memory, retrieval, and orchestration to power the next generation of enterprise AI applications.

Core Technical Responsibilities Agentic Design

Proven ability to architect multi-step agents with planning, tool usage, and self-reflection.
Experience with orchestration frameworks like LangGraph, CrewAI, or custom graph/task-based planners.

LangChain Ecosystem

Deep understanding of Chain, Runnable, and LCEL abstractions.
Built custom output parsers, retrievers, and memory components.
Experience with tracing & evaluation tools such as LangSmith, Langfuse, or equivalents.

Agent Memory

Implemented short-term memory (e.g., message history, token windowing).
Designed long-term memory using vector stores (FAISS, Pinecone, Milvus, OpenSearch) or knowledge graphs.
Strong grasp of performance/cost trade-offs across memory backends.

Retrieval-Augmented Generation (RAG)

Designed hybrid retrieval pipelines (BM25 + dense vector search).
Familiar with chunking/embedding strategies, adaptive retrieval, and reranking.

Prompting & Function Design

Skilled in structured prompting (JSON/YAML schemas, function-calling).
Experienced in dynamic prompt injection for real-time tool use.

LLM Evaluation & Safety

Knowledge of automated evaluation techniques (rubric-based, self-critique).
Familiar with red-teaming, toxicity, bias detection, and PII leakage prevention.

Programming & Tooling

Proficient in Python 3.11+ (typing, Pydantic, asyncio) and TypeScript.
Test-driven development with pytest, coverage tools, and LangChain-specific testing patterns.
Experienced in working with agentic coding tools like Claude Code, Kiro, Copilot,...

MLOps & Observability

Experience in vector-store migrations, prompt/model versioning, and model registries.
Monitoring with OpenTelemetry, CloudWatch, Honeycomb, or similar observability stacks.

Yêu Cầu Công Việc

Nice to Have

Exposure to OpenAI Assistants API, Semantic Kernel, or open-source agent stacks (AutoGen, SuperAGI, etc.)
Knowledge of enterprise AI deployment patterns (multi-tenant RAG, ACL for memory/knowledge base).
Familiarity with GPU cost optimization and caching strategies.
Experience with other programming languages such as Java and Go (Golang).
AWS DevOps experience, including CI/CD pipelines, monitoring, and infrastructure automation.
Domain knowledge in financial services or banking is a strong plus.

What We Offer

Opportunity to work at the frontier of AI agent systems with a high-impact product.
Collaborative environment with strong engineering autonomy.
Access to cutting-edge AI infrastructure and tooling.
Competitive compensation and flexible working model.