Role overview
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