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Code.id

Presales Consultant for LLM and Generative AI Focus  

Code.id

 
  • South Jakarta, Indonesia
    Mangkuluhur City Tower One 7th Floor, South Jakarta, DKI Jakarta, Indonesia
    South Jakarta
    DKI Jakarta
    Indonesia
    Indonesia
  • Full timeFULL_TIME

Posted 14 hours ago and deadline of application is on 13 Aug

Recruiter was hiring 8 hours ago

2026-06-15T02:43:00.587812+00:002026-08-13T17:00:00+00:00

Job Description

  • Lead executive and technical workshops to uncover customer pain points and identify the highest ROI AI and Generative AI use cases.
  • Architect customized, end-to-end AI solutions. This often involves designing Retrieval-Augmented Generation (RAG) pipelines, embedding models, and multi-agent AI workflows using tools like LangChain or LlamaIndex.
  • Lead the technical components of Requests for Proposals (RFPs) and Requests for Information (RFIs), including creating architecture diagrams, pricing estimates, and Bills of Materials (BoQ).
  • Advise clients on model selection (e.g., proprietary vs. open source) and optimize AI inference, balancing performance metrics (like tokens per second and latency) with compute costs.
  • Ensure a seamless transition of the closed deal from pre-sales to the engineering and delivery teams by providing comprehensive documentation

Minimum Qualifications

  • Experience: Minimum 2-3 years of experience as a Presales Engineer, Solution Architect, or Technical Business Analyst, preferably focusing on Data Science, Cloud, or Artificial Intelligence solutions.
  • Gen AI & LLM Literacy: Strong conceptual understanding of Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures to translate them into concrete business solutions.
  • Technical Familiarity: Understanding the AI/ML ecosystem at a macro level, including the functionality of components such as Vector Databases, API Integration (OpenAI, Anthropic, etc.), and orchestration layers such as LangChain or LlamaIndex (coding is not required, but understanding how they work is essential).
  • Cloud & Infrastructure Awareness: Understanding the basic concepts of cloud infrastructure (AWS, GCP, or Azure) used for deploying AI applications, including estimating general compute (GPU/CPU) requirements for pricing purposes.
  • Consultative Selling & Discovery: Proficient in conducting discovery meetings with clients, exploring potential use cases (e.g., enterprise chatbots, automated reporting, knowledge management), and mapping the Return on Investment (ROI) of AI implementations.
  • Proposal & RFP Crafting: Experienced in drafting technical documents, business proposals, responding to RFP/RFI (Request for Proposal/Information) documents, and creating pricing models for software/AI projects.
  • Communication & Presentation: Impressive communication and presentation skills to bridge the gap between C-Level executives (business audience) and internal technical teams (System Analysts & ML Engineers).

Jobs Summary

Job Level
Associate / Supervisor
Job Category
Sales and Marketing
Educational Requirement
Bachelor's degree graduate
Office Address
Jalan Gatot Subroto 3, RT02/RW04, Karet Semanggi Kel., Setia Budi, Jakarta Selatan, 12930, Indonesia
Industry
Information Technology / IT
Vacancy
1 opening
Website
https://www.code.id/

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About Code.id

CODE.ID was previously a business unit of INTEGRASI, a system integrator that also provided software services established in 1999. In 2014, CODE.ID becomes an independently run company which currently has around 100 passionate developers with a myriad numbers of skill sets. CODE.ID has been established since 1999 and became a publicly listed company in Jakarta Stock Exchange in 2001 - as PT Integrasi Teknologi Tbk. It was back to be a private company in 2007. Our Success Stories: We successfully developed, deployed, and supported Information Technology Infrastructure for Komisi Pemilihan Umum (KPU) or the National Election Commission in 2004. We developed the election application and also distributed, installed, and supported (7x24 hour) two data centers and 8000 VPN connected personal computers in 5,000 locations in the cities, rural areas, and remote areas all over Indonesia.

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