Artificial Intelligence Engineer

PT Mitra Solusi Telematika; Daerah Khusus Ibukota Jakarta; On-site; IDR 662,800,331 - 994,200,497; Full time

Job summary

A leading IT partner in Indonesia seeks a visionary AI Engineer to build intelligent, scalable AI systems. Responsibilities include designing RAG pipelines and optimizing vector search systems. The ideal candidate has a Bachelor’s degree and experience in AI engineering, with expertise in Python and multi-cloud deployments across AWS and Azure.

Qualifications

• 2-3 years of experience as an AI Engineer.
• Hands-on experience with serverless GPU inference.
• Background in multi-cloud deployments across AWS and Azure.

Responsibilities

• Design and implement RAG pipelines.
• Develop agentic AI workflows.
• Build and optimize vector search systems.

Skills

Python

Serverless compute

React or Flutter

CI/CD pipelines

LLM frameworks

RAG

Vector Databases

Education

Bachelor’s degree in Computer Science, Mathematics, or related field

Tools

Docker

Kubernetes

AWS

Azure

Job description

About Us

With over 25 years of excellence, PT Mitra Solusi Telematika (MST) is a trusted IT partner helping businesses thrive through innovation and integration. Our latest breakthrough, MissTika AI Platform, is a one-stop solution for RAG, summarization, ingestion, and API-based access—designed to be scalable, secure, and enterprise-ready. Now, we’re scaling into Agentic AI & Automation, and we’re looking for a visionary AI Engineer to help us build the future of serverless-first AI platforms.

What You’ll Do

As our AI Engineer, you’ll be at the heart of building intelligent, scalable, and secure AI systems:

• Design and implement RAG pipelines using modern frameworks like LangChain and Hugging Face.
• Develop agentic AI workflows with serverless-first architecture principles.
• Build and optimize vector search systems using pgvector, Pinecone, or FAISS.
• Architect serverless AI services on AWS and Azure, including Lambda, Step Functions, and API Gateway.
• Create CI/CD pipelines for ML models and automate retraining and monitoring using MLFlow or Weights & Biases.
• Deploy AI workloads on SageMaker and container-based inference endpoints.
• Ensure system reliability and security through Docker, Kubernetes/ECS, and observability tools.
• Collaborate with cross-functional teams and contribute to scalable, secure, and enterprise-ready AI solutions.

What We’re Looking For

• Bachelor’s degree in Computer Science, Mathematics, or a related field
• 2–3 years of experience as an AI Engineer
• Advanced proficiency in Python and familiarity with React or Flutter
• Intermediate skills in Serverless compute, API Gateway, and .NET/Node.js
• Strong experience with CI/CD pipelines, LLM frameworks, RAG, and Vector Databases
• Hands‑on experience with serverless GPU inference (e.g., SageMaker Asynchronous Inference, Azure ML batch endpoints)
• Background in multi‑cloud deployments across AWS and Azure
• Familiarity with event‑driven AI orchestration frameworks such as CrewAI, AutoGen, or LangGraph
• Contributions to open‑source AI/ML projects are a strong plus