Generative AI Product Engineer

BukuWarung; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job description

Showing 121 AI Product Engineer jobs in Jakarta

Posted today

Fineksi AI Software Engineer

Company Description: Fineksi is a platform that assists financial institutions in achieving digital transformation through AI. We specialize in partnering with financial institutions to provide comprehensive, accurate, reliable, and fast AI‑powered credit analysis.

Role Description: As an AI Software Engineer on our team, you will play a pivotal role in designing and building intelligent features that enhance customer value primarily using generative AI, large language models (LLMs), and agentic frameworks.

You’ll collaborate closely with product and engineering leaders to ideate, prototype, and deliver AI‑powered solutions that elevate the product value.

• Design, develop, and deploy LLM‑powered systems and AI agents.
• Develop knowledge bases by utilizing vector embedding and vector db.
• Implement RAG, MCP, and advanced prompt engineering to personalize model behavior and improve model performance.
• Fine‑tune pre‑trained models on custom datasets to improve performance on specific tasks.
• Develop and apply frameworks to assess, validate, and refine AI model or agent performance, ensuring reliability.
• Work closely with product managers, analysts, and engineers across teams to define high‑value use cases and collect requirements.
• Maintain clear documentation of models, methodologies, and testing to support organizational learning.
• Stay updated on the latest advancements in AI, LLMs, and related technologies to propose innovative solutions.

Ringkas AI Engineer

About Us: Ringkas is helping consumers access mortgage financing. Built by passionate founders from Google, Amazon, Dell with backgrounds in tech who have scaled product and digital businesses worldwide. Backed by VCs, and several prominent angel investors who have built FinTech platforms for millions of people in Indonesia and the US.

Our vision is to democratize home financing and make it accessible for everyone. We are building infrastructure for financial institutions to ensure financing is fast, transparent, and low‑cost for all. Mortgage finance has operated through traditional opaque systems for years. We are redefining the mortgage process from the ground up and end to end. We’re using AI & technology to make it faster and more efficient, through trusted partners and people to help make a seamless customer experience.

Roles & Responsibilities:

• Take on the challenges of building our Agentic AI with interesting use cases for fintech.
• Being the tip of the spear in our technical team, ensuring to leverage the best and latest technologies to keep us in the game.
• Be owner of your product. Voice in your own opinions of every aspects of our product from tech, logic to UI/UX. And turn those innovative ideas into deliverables.

Requirements:

• Excellent analytical and problem‑solving skills.
• Hands‑on experience with real‑world NLP use cases and the development of Generative AI APIs, including OpenAI, Anthropic, Gemini, Vertex AI, and other leading models.
• Good experience with RAG, embedding & fine‑tuning model.
• Strong foundation knowledge on LLM & machine learning.
• Experienced with multi‑agent frameworks, including LangChain, for building complex AI‑driven workflows.
• Good at English communication.
• An interest in learning about MCP and A2A is considered a plus.
• Good experience in web development is a plus, but not mandatory.
• Good experience with vision models, but not mandatory.
• Ambitions. Motivation to grow high and aim big with your own career.

CloudFactory AI Engineer – Quantization & Model Optimization

Who We Are: CloudFactory is a mission‑driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real‑world business value at scale.

Our Culture: Mission‑Driven, People‑Centric, Innovative, Globally Connected.

Position Overview: Full‑time role based in Jakarta, Indonesia. You’ll begin with an on‑site phase for the first six months to collaborate closely with our client team, then transition to a hybrid schedule (three days on‑site each week). The initial contract is for one year, with the possibility of extension.

About the Role: We are seeking an experienced AI Engineer to join our international AI research and engineering team. Based in Indonesia, you will collaborate closely with our Berlin‑based core AI group to develop, optimize, test and deploy large language models (LLMs) at scale. Your primary focus will be on quantization, model compression, and performance optimization to ensure efficient inference.

Key Responsibilities:

• Develop and implement quantization and pruning strategies for LLMs to improve runtime efficiency and reduce memory footprint.
• Collaborate with the AI Research team on model architecture, fine‑tuning, and deployment of multilingual and multimodal models.
• Evaluate and benchmark quantized models across hardware platforms (GPU, TPU, CPU, edge accelerators).
• Contribute to the design and maintenance of model optimization pipelines (training, evaluation, conversion, inference).
• Stay current with cutting‑edge research on model compression, distillation, and efficient inference frameworks.
• Support continuous integration of optimized models into production and internal tools.
• Document methodologies and share insights across global teams to promote technical excellence and reproducibility.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Electrical Engineering, or related field.
• 5+ years of professional experience in AI/ML engineering, with a focus on deep learning model optimization.
• Hands‑on experience with quantization techniques (e.g., PTQ, QAT, INT8/FP16 quantization) using frameworks like PyTorch, TensorFlow, or ONNX Runtime.
• Solid understanding of LLM architectures (e.g., GPT, LLaMA, Mistral, Falcon).
• Strong programming skills in Python, including proficiency with CUDA, NumPy, and PyTorch internals.
• Experience with distributed training/inference and deployment on cloud or edge infrastructure.
• Excellent communication skills and comfort working in a remote, cross‑functional, international environment.

Preferred Qualifications:

• Experience with quantization‑aware training (QAT) and post‑training quantization (PTQ).
• Familiarity with Hugging Face Transformers, DeepSpeed, or TensorRT.
• Contributions to open‑source ML optimization libraries or toolkits.
• Knowledge of low‑level performance profiling and benchmarking (e.g., NVIDIA Nsight, PyTorch Profiler).
• Prior experience collaborating with global AI research teams across time zones.

BJAK AI Engineer – Senior Lead

Company: BJAK is Southeast Asia’s largest digital insurance platform, helping millions access transparent and affordable financial protection.

Role Summary: Designing & deploying core AI systems that serve millions of users. Working directly under the Head of AI as both an individual contributor and technical mentor.

Key Responsibilities:

• Design and deploy production‑grade machine learning models for business‑critical use cases.
• Collaborate closely with engineering, data, and product teams to identify and deliver AI solutions.
• Lead technical decisions on model architecture, system design, and deployment pipelines.
• Own end‑to‑end model lifecycle: data preparation, training, validation, monitoring, retraining.
• Mentor junior AI engineers – code review, project guidance, growth support.
• Champion AI best practices, experimentation, and continuous improvement.
• Stay current with AI advancements and evaluate what's worth bringing into the stack.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 4–6 years of experience in AI engineering, with production deployment experience.
• Strong Python skills – must.
• Deep familiarity with ML frameworks (TensorFlow, PyTorch, Scikit‑learn).
• Experience working on real‑world AI applications (risk scoring, recommendation, NLP, etc.).
• Experience mentoring engineers and collaborating across functions.
• Strong communication skills – able to work cross‑functionally and provide technical leadership.
• Must be based in Indonesia and able to work remotely with Malaysia HQ.

Nice to Have:

• Experience with MLOps tooling (MLflow, Airflow, Docker, GCP/AWS).
• Familiarity with model explainability, fairness, or responsible AI practices.
• Background in startup or high‑growth tech environments.
• Exposure to building internal AI tools, frameworks, or reusable components.

What You’ll Get: Competitive salary and performance bonuses, fully remote flexible setup from anywhere in Indonesia, high ownership, rapid career growth, and ability to lead a lean, smart team.

General AI Engineer (miscellaneous roles)

Title: AI Engineer

Location: Jakarta

Salary: IDR2000000 - IDR2500000

Role Summary: Multidisciplinary AI Engineer roles requiring proficiency in Python, ML frameworks, cloud services and large‑scale model deployment.

Key Responsibilities:

• Design, build, and deploy AI/ML models for various business use cases.
• Preprocess and analyze large datasets to ensure data quality.
• Develop, train, and fine‑tune deep learning models using TensorFlow, PyTorch, or Keras.
• Collaborate with software engineers and data scientists to integrate AI models into applications.
• Monitor, evaluate, and improve model performance using MLOps tools.
• Research and apply new AI techniques and algorithms.

Qualifications:

• Minimum 1–2 years of experience in AI, Machine Learning, or Data Engineering roles.
• Experience developing and deploying ML models in production environments.