Principal/Senior AI/LLM Solution Engineer

Job Description
We are looking for an AI Solution Engineer with a strong foundation in large language models (LLMs), prompt design, and system integration — someone who can go beyond prompt tuning to design, build, and operate practical AI Agent systems that enhance and automate back- office workflows. Candidates for this position are expected to join the development team, understand the product and continuously research, and recommend AI features to realize AI product vision.

Share best practices with team members for prompt engineering, LLM integration, cloud AI tools utilization, and evaluation methodologies.
Design and develop AI or AI Agent engines to integrate sophisticated features into a workflow application SaaS for automating and enhancing back- office operations using LLMs.
Collaborate with backend, frontend, and infrastructure teams for seamless integration and delivery.
Monitor agent behavior and system metrics to identify and mitigate hallucinations, performance degradation, or edge cases.
Develop and iterate on high- quality prompts, prompt- chaining strategies, and evaluation pipelines.
Take technical ownership of AI initiatives, leading cross- functional collaboration (BE/FE/AI/SRE), and driving system- level decisions
Evangelize and integrate tools, workflows, and development cultures to support rapid and responsible AI feature development.

Yêu cầu công việc

Requirements

Technical
Must have
5+ years of experience with Python (or Golang as an alternative).
Practical experience designing and optimizing prompts for LLMs in production environments.
5+ years of Web application development.
Good understandings of:
Backend development (e.g., web frameworks, databases).
MLOps pipeline.
Cloud infrastructure (e.g., Azure, AWS, Terraform, serverless architecture).
Experience in:
Architectural design for multi- agent orchestration.
RAG architecture and vector stores.
LLM orchestration frameworks like AutoGen, LangChain, and LlamaIndex.
Integrating AI services from platforms like Azure AI Foundry, AWS Bedrock, or GCP Vertex AI.
Nice to Have
Understanding of AI system deployment from a security/compliance standpoint.
Exposure to IaC and CI/CD in production systems.
Familiarity with fine- tuning or instruction- tuning LLM models.
Experience introducing traditional machine learning techniques and related ML pipelines to improve businesses.
Experience in B2B application development.
Basic understanding of frontend development (e.g., TypeScript/React).
Communication
Experience in educating team members.
Strong English communication, both verbal and written.
Strong sense of ownership.
Experience in leading a project as a team leader.

Caring Mental & Physical Recreation:

16 days off annually + 1 Birthday Leave
Social insurance on full salary from probation
Premium Health insurance from probation
Hybrid working
Annual company trip; Quarterly team building activities
Annual health check
Club activities
Paternity leave extra 5 days
Flexible start 8AM- 9AM from Mon- Fri
Full salary in probation & 13th month salary

Caring Career & Development:

Performance review twice/year
Foreign language & International technology- related certifications sponsoring
Soft skill workshops
Clear Career path
Tech seminars
Monthly and biannually Recognition Awards
Well- equipped facility: Macbook pro, additional monitor,..

Cập nhật gần nhất lúc: 2025-08-16 03:25:02