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AI Engineer

ATI Business Group
3-5 Years
Indonesia
  • Posted 23 days ago
  • Be among the first 10 applicants

Job Description

  • You will design, build, and maintain Agentic AI systems that integrate LLMs with tools, APIs, databases, and enterprise workflows to enable intelligent automation and action-driven AI execution.
  • You will build and optimize AI agents capable of multi-step reasoning, tool usage, and workflow execution across business processes.
  • You will develop and maintain orchestration frameworks such as LangGraph, LangChain, PydanticAI, MCP, OpenClaw, OpenCode, or similar technologies for scalable agent operations.
  • You will build and optimize RAG pipelines, embeddings, prompt structures, and contextual retrieval logic to improve response quality and execution reliability.
  • You will work with LLM models, MoE models, embedding models, and visual models based on enterprise use case needs.
  • You will engineer backend services, APIs, and integrations using Python, Node.js, and JavaScript so AI agents can interact with internal systems, databases, and workflow tools.
  • You will automate Agentic AI workflows using platforms such as n8n or similar tools, with clear retry, fallback, and exception-handling logic.
  • You will deploy and operationalize AI agents using Docker/Podman, CI/CD pipelines, and production-ready serving environments.
  • You will monitor model and workflow performance using observability, logging, and auditability controls to ensure safe and reliable operations.
  • You will collaborate closely with Data, Platform, DevOps, and Business teams to translate requirements into production-ready Agentic AI solutions.
  • You will maintain high-quality technical documentation for architecture, prompts, tool integration, deployment, and operational procedures.

Minimum Qualifications

  • Excellent communication, collaboration, and documentation skills, with fluency in English.
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3+ years of hands-on experience in AI/ML engineering, AI application development, or workflow automation.
  • Strong proficiency in Python, Node.js, and JavaScript, with proven ability to build backend services, APIs, and production-grade integrations.
  • Hands-on experience with LLMs, RAG pipelines, prompt engineering, and agent orchestration frameworks.
  • Experience building Agentic AI workflows that connect models with tools, APIs, databases, or business systems.
  • Practical experience with LangGraph, LangChain, PydanticAI, MCP, vLLM, OpenClaw, OpenCode, or similar technologies.
  • Familiarity with LLM models, MoE models, embedding models, and visual models for enterprise AI implementation.
  • Experience using orchestration tools such as n8n or equivalent automation platforms.
  • Ability to deploy AI systems in production using containerization and CI/CD pipelines.
  • Understanding of inference monitoring, model lifecycle, evaluation, observability, and governance.
  • Exposure to Big Data platforms such as Apache NiFi, Hortonworks/Cloudera, or Apache Ranger.
  • Familiarity with data lakehouse or distributed data ecosystems supporting analytics and AI workloads.
  • Experience with vector databases and enterprise retrieval systems.
  • Familiarity with OpenWebUI, LibreChat, or other enterprise conversational AI interfaces.
  • Experience with on-prem/private AI architecture, observability tools, and API gateways.

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Artificial Intelligence
Employment Type:
Full time

About Company

Job ID: 150923837

Last Updated: 07-07-2026 09:21:05 PM
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