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PT Mitra Solusi Telematika
AI

Artificial Intelligence Engineer

PT Mitra Solusi Telematika · Jakarta · $90k - $100k

Actively hiring Posted 8 months ago

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

Tags & focus areas

Used for matching and alerts on DevFound
Ai Engineer Aws Docker Kubernetes Node React Langchain Python Azure
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