Ai Content Specialist

Bythen; Tangerang; On-site; IDR 501.672.000 - 836.121.000; Full time

Job summary

A leading AI technology firm in Indonesia is seeking an experienced Artificial Intelligence Engineer to design and implement scalable AI systems. This role requires a strong background in Python, RAG pipelines, and serverless architecture. The ideal candidate will possess 2-3 years of experience in AI engineering and contribute to innovative AI solutions. This is a full-time, on-site position located in Tangerang.

Qualifications

• 2-3 years of experience as an AI Engineer.
• Advanced proficiency in Python.
• Experience with RAG pipelines and serverless compute.

Responsibilities

• Design and implement RAG pipelines using modern frameworks.
• Develop agentic AI workflows with serverless architecture.
• Ensure system reliability and security.

Skills

Python

AI Systems Architecture

RAG Pipelines

Serverless Architecture

CI/CD Pipelines

Vector Databases

API Development

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

Docker

Kubernetes

MLFlow

Job description

Artificial Intelligence Engineer

Posted today

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.
• 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.

Artificial Intelligence Developer

Posted today

Job Description

Company Description

PT Dunia Virtual Online Tbk (DVO) focuses on the Datacenter business line, from our datacenter in the Cyber 1 building, Tifa building and also AREA31. We are committed to always maintaining the quality of our services and also our neutrality, as a neutral operator datacenter, where the last 20 years have provided many lessons and experience for us.

Role Description

This is a full-time, on-site role located in Depok for an Artificial Intelligence Developer. The responsibilities involve designing, developing, and implementing AI solutions, with a focus on machine learning algorithms, pattern recognition, and neural networks. Additionally, the AI Developer will be tasked with improving and optimizing NLP-based applications, collaborating with cross-functional teams, and maintaining AI-driven software solutions to meet business needs.

Qualifications

• Strong foundational knowledge in Computer Science and Software Development.
• Expertise in Pattern Recognition and Neural Networks.
• Experience in Natural Language Processing (NLP) and related techniques.
• Proficiency in programming languages such as Python, Java, or similar.
• Effective problem-solving skills and a proven track record of deploying AI solutions in real-world applications.
• Bachelor's or higher degree in Computer Science, AI, or related fields.
• Familiarity with ethical considerations and responsible AI development practices.

Senior Artificial Intelligence Engineer

Posted today

Job Description

About Us

With over 25 years of innovation, MST is a trusted IT partner helping businesses thrive through cutting-edge technology. Our flagship product, MissTika AI Platform, is a one-stop solution for RAG, summarization, ingestion, and API-based access—built to be scalable, secure, and enterprise-ready.

We're now entering the next frontier: Agentic AI & Automation. If you're passionate about building production-grade AI systems and shaping the future of intelligent platforms, we want you on our team.

Responsibility:

As a Senior AI Engineer, you'll architect and deliver high-performance AI systems while mentoring engineers and collaborating across teams.

• Lead the design and implementation of RAG pipelines and agentic AI workflows using LLMs and structured outputs.
• Architect scalable, serverless AI services on AWS and Azure with robust orchestration and streaming capabilities.
• Optimize vector search systems and enforce secure, multi-tenant knowledge base access.
• Build and maintain backend AI services including token quotas, latency control, and modality safety.
• Drive deployment automation using Terraform/CDK and ensure secure connectivity and infrastructure.
• Define and integrate evaluation metrics (e.g., faithfulness, relevance, CER/WER) into CI/CD pipelines.
• Instrument observability tools and lead incident response with clear SLOs and dashboards.
• Mentor engineers and set standards for secure, scalable, and cost-efficient AI platform development.

Requirements:

• Master's / Bachelor's degree in Computer Science, Mathematics, or a related field.
• 5+ years of experience building and deploying production-grade AI systems.
• Strong skills in Python (AI backend) and experience with.
• Expertise in RAG pipelines, LLM orchestration (LangChain, LangGraph), and Vector Databases.
• Hands-on experience with serverless architecture, event-driven AI, and containerized workloads.
• Familiarity with Generative AI, structured outputs, and AI Gateway design including token quotas.
• Experience with multi-cloud deployments (AWS + Azure) and serverless GPU inference.
• Knowledge of Terraform/CDK, open-source contributions, and secure multi-tenant architecture (RBAC, RLS, KMS).