Yuxi Global powered by Veritas Automata

AI Engineer

Yuxi Global powered by Veritas Automata

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇨🇴 Colombia

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Job Level

Mid-LevelSenior

Tech Stack

AzureCloudDistributed SystemsJavaScriptKubernetesMicroservicesPythonTypeScript

About the role

  • Design and implement AI/LLM‑powered capabilities including agent workflows, tool‑use actions, retrieval‑based systems, and structured output pipelines.
  • Build integrations with major model providers (OpenAI, Azure OpenAI, Anthropic) and open‑source model ecosystems.
  • Develop and optimize RAG pipelines, embeddings, vector search, and semantic retrieval patterns.
  • Implement evaluation harnesses, guardrails, prompt management, and safety validation workflows.
  • Collaborate with backend, frontend, and data engineers to deliver scalable AI‑driven features.
  • Integrate AI capabilities into Kubernetes‑based microservices environments using modern APIs and deployment patterns.
  • Configure and operate model‑serving environments (vLLM, TGI, KServe) including tuning for latency, throughput, and cost.
  • Implement observability for AI systems including telemetry, metrics, traces, structured logs, and prompt evaluations.
  • Support CI/CD automation, model versioning, feature flagging, and safe rollout of AI functionality.
  • Contribute to documentation, architectural diagrams, and reusable internal AI patterns.
  • Mentor junior engineers and support skill development across AI engineering best practices.

Requirements

  • 5–8 years of experience in software engineering, AI engineering, ML engineering, or distributed systems engineering.
  • Hands‑on experience building AI/LLM applications including retrieval, embeddings, structured outputs, and function/tool calling.
  • Strong proficiency in Python and TypeScript/JavaScript, including API development and workflow orchestration.
  • Familiarity with agent frameworks (LangChain, LlamaIndex, DSPy, Semantic Kernel) and evaluation patterns.
  • Experience with vector databases (FAISS, Milvus, Pinecone, Chroma) and semantic search pipelines.
  • Working knowledge of Kubernetes, containers, Git‑based workflows, CI/CD, and cloud‑native deployment patterns.
  • Strong understanding of distributed system design, performance tuning, and observability.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
  • Advanced English level (written and spoken) to communicate effectively across global teams.
Benefits
  • Work-life integration: We support work-life balance and create greater synergy among work, home, family, and personal well-being.
  • Prolonged periods of sitting at a desk and working on a computer.
  • Occasional travel to the client’s site may be required.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI engineeringML engineeringsoftware engineeringPythonTypeScriptJavaScriptKubernetesvector databasesretrieval-based systemssemantic retrieval
Soft skills
mentoringcollaborationcommunicationskill developmentdocumentation
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in Mathematics