Remote Native Chinese AI Benchmark Engineer

Lilt Ai; Victoria; Hybrid; ARS 182,310,000 - 273,465,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation (USD-based)

Exciting projects

Flextime

Job summary

Lilt Ai is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation. You will collaborate with globally distributed teams to develop RAG-based models, vector databases, and IaC pipelines using Terraform and OpenAI/Anthropic APIs, delivering secure cloud automation across Fortune 500-scale projects.

Expect flexible scheduling with remote and office options, professional growth opportunities, and a USD-based compensation package

Qualifications

• 4+ years of software engineering experience on public cloud infrastructure.
• 2+ years with cloud deployment pipelines and Infrastructure as Code (IaC).
• 2+ years developing Agentic models using RAG and Vector databases.
• Proven capability to partner with globally distributed engineering teams.

Responsibilities

• AI Acceleration: implement generative AI workflows using RAG, vector databases, and LLM APIs to automate cloud baselines.
• Cloud Security Automation: develop AI-enabled drift detection, discovery, and remediation capabilities.
• Policy & IaC: generate and validate Terraform modules, Rego policies, and Regula test cases for CI/CD.

Skills

4+ years of software engineering

2+ years cloud deployment pipelines

2+ years agentic models (RAG)

collaboration with distributed teams

Tools

Terraform

LangChain

LangGraph

Rego/Open Policy Agent

Regula

Vector databases

OpenAI

Anthropic

Job description

Lilt Ai is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation. You will collaborate with globally distributed teams to develop RAG-based models, vector databases, and IaC pipelines using Terraform and OpenAI/Anthropic APIs, delivering secure cloud automation across Fortune 500-scale projects.

Expect flexible scheduling with remote and office options, professional growth opportunities, and a USD-based compensation package