AI and Data Specialist

2 days ago

Remote, Indonesia or Jakarta, IndonesiaMid Level

Responsibilities

Define acceptable AI behavior based on user workflows, feedback, and production behavior.
Build and ship AI services, ML models, LLM workflows, RAG systems, data pipelines, and model integrations as product capabilities.
Configure prompts, context, retrieval logic, model settings, orchestration flows, and data transformations.
Evaluate AI behavior using evaluation sets, golden datasets, regression evaluations, scenario and adversarial tests, and human review.
Manage grounding, hallucination, bias, privacy, latency, cost, drift, safety, and trust risks.
Release systems with guardrails, fallbacks, monitoring, and human-in-the-loop controls.
Continuously improve prompts, models, and pipelines using real-world usage data.
Collaborate with Platform Builders and Product Builders on agent tuning, user value, trust boundaries, and release readiness.

2–3+ years of experience 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 and data quality dimensions including freshness, lineage, completeness, and correctness.
Experience designing evaluations, golden datasets, regression evaluations, scenario tests, and human review processes.
Working knowledge of grounding, hallucination control, refusal behavior, guardrails, safety, and AI trust.
Experience monitoring drift, quality degradation, latency, cost, user feedback, and production behavior.
Track record of shipping AI/data-powered products, features, modules, workflows, services, or decision-support capabilities.
Preferred experience collaborating with Platform Builders on agentic workflows, agent tuning, evaluation, and improvement.
Comfort defining risk tolerances and behavior standards for non-deterministic systems.

1,001-5,000 employees