AI Platform Engineer - Intelligent Automation & Infra

Sea

Jakarta Utara

On-site

IDR 350,000,000 - 700,000,000

Full time

8 days ago
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Job summary

Sea is seeking an AI Solutions Engineer to design and develop the Smart platform and related AI systems. You will build agent runtimes, toolchains, memory, orchestration, and sandboxing, while collaborating with cross‑functional teams to deploy real-world AI use cases.

You’ll focus on platform reliability, observability, and production readiness, working with vector stores, RAG, and middleware. Join a fast-paced, experimentation‑driven environment that values learning and practical AI impact.

Qualifications

  • Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
  • 2+ years of relevant experience in software development or strong fundamentals and hunger to learn.
  • Strong programming skills in Python (primary) with Golang familiarity.
  • Solid CS fundamentals: algorithms, data structures, networking, systems, architecture.
  • Backend experience designing cloud-ready services with databases, queues, caching, etc.
  • Familiarity with AI agent frameworks like LangChain/LangGraph or eagerness to learn them.
  • Strong problem-solving mindset and ability to navigate ambiguity with curiosity and creativity.
  • Willingness to work full stack; backend prioritized but well-rounded engineers valued.
  • Understanding of distributed systems and cloud-native principles (12-factor app).
  • Passion for building AI systems that people actually use.

Responsibilities

  • Design and develop the Smart platform and other AI systems, covering agent runtimes, toolchains, memory, orchestration, logging, planning, and sandboxing.
  • Collaborate with teams across departments to land and scale real-world AI use cases.
  • Drive internal agent adoption in engineering infra by replacing traditional operations with intelligent agent workflows.
  • Work on platform reliability and observability to ensure systems are performant, debuggable, and production-ready.
  • Support operations and development work, shipping features and running real services.
  • Manage and operate supporting infrastructure, including vector stores, retrieval systems (RAG), and middleware components.
  • Continuously experiment and bring in the latest AI advancements into production.
  • Optimize system performance through tuning, profiling, and root-cause analysis.
  • Design and develop automated technical operations platform to reduce manual work and improve reliability.
  • Drive capacity and resource management for scalable systems.
  • Plan stress and load tests to identify bottlenecks and improve throughput.
  • Improve monitoring, logging, alerting, and incident response practices.
  • Troubleshoot complex production issues across application, middleware, and infrastructure layers.

Skills

Python
Golang
Algorithms
Distributed Systems
Cloud-Native
Backend design
LangChain/LangGraph
Problem-solving
Full stack

Education

Bachelor’s degree in CS/Engineering

Tools

LangChain
LangGraph
Vector databases
Observability tools

Job description

Sea is seeking an AI Solutions Engineer to design and develop the Smart platform and related AI systems. You will build agent runtimes, toolchains, memory, orchestration, and sandboxing, while collaborating with cross‑functional teams to deploy real-world AI use cases.

You’ll focus on platform reliability, observability, and production readiness, working with vector stores, RAG, and middleware. Join a fast-paced, experimentation‑driven environment that values learning and practical AI impact.

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