AI & Data Specialist

Mekari is Indonesias no. 1 Software-as-a-Service (SaaS) company. With our ecosystem of software solutionsincluding Mekari Jurnal Mekari Talenta Mekari Qontak and Mekari Flex we aim to facilitate entrepreneurs and leaders as they accelerate the digital transformation of their businesses.

In our 10 years of journey we have reached over 3 Million platform users and were not planning to stop any time soon. We need more people like you: builders and owners with calculated ambition who are ready to #ElevateThroughImpact and raise Indonesias software standard.

Job Description:

The AI/Data Builder is an AI-native Builder who owns AI ML LLM data and non-deterministic system quality. This role expects to stay close to users and ships end-to-end user-accessible AI/data products features modules workflows services and decision-support capabilities. What sets this role apart is deeper accountability for the quality of probabilistic behavior data quality model behavior evaluation systems AI trust guardrails and continuous improvement. The mission: build ship measure and improve AI/data capabilities that are useful safe trusted measurable and valuable for users.

• User & product alignment. Stay close to workflows feedback and production behavior to define what good vs. unacceptable AI behavior looks like for the use case.
• Build & ship.Develop AI services ML models LLM workflows RAG systems data pipelines and model integrations as real product capabilities (not just experiments).
• Configure & construct. Own prompts retrieval logic model configs orchestration flows and data transformations.
• Validate quality. Test behavior through eval sets golden datasets scenario/adversarial tests regression evals and human review.
• Manage risk. Handle grounding hallucination bias privacy latency cost and drift concerns.
• Release responsibly. Ship with guardrails fallbacks monitoring and human-in-the-loop controls.
• Iterate. Continuously improve prompts models and pipelines based on real usage data.
• Cross-functional collaboration. Partner with Platform Builders (deployment agent tuning) and Product Builders (user value trust boundaries release readiness).

Requirements:

• 2 - 3 years in full-stack engineering or applied software development using AI/data use cases.
• Experience with AI ML LLM RAG data analytics and intelligent product systems.
• Proficiency in prompt context retrieval model orchestration and data-system design.
• Experience with data pipelines data quality freshness lineage completeness and correctness.
• Demonstrated ability with evaluation design golden datasets regression evals scenario tests and human review.
• Working knowledge of grounding hallucination control refusal behavior guardrails safety and trust.
• Experience monitoring for drift quality degradation latency cost user feedback and production behavior.
• Track record shipping AI/data-powered products features modules workflows services or decision-support capabilities.
• Preferred Traits
  • Experience collaborating with Platform Builders on agentic build workflows especially agent tuning evaluation and improvement.
  • Comfort defining risk tolerances and behavior standards for non-deterministic systems (i.e. systems where output varies based on models prompts retrieval data context or user input and cant be verified by exact-output tests alone).
• Mindset
  • A builder who takes deep ownership of AI/data behavior quality someone who treats evaluation monitoring and continuous improvement as core parts of shipping not afterthoughts and who partners naturally with Product and Platform counterparts (this role isnt research-only model-only or analytics-only its about shipping real AI/data-powered capability and managing its quality in production).