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Middle Applied AI Engineer (LLM/GenAI)

Kharisma Potensia Indonesia

Actively hiring 7d ago
  • Contract
  • On-site • Jakarta Pusat
  • Min. 3-5 Years Experience
  • Undisclosed

Job Description

Job Description (Core Outcomes)

  • Own LLM features end-to-end: prompt design → orchestration → backend integration → release → monitoring.
  • Implement RAG/retrieval systems with real production considerations: chunking, reranking, caching, citations, fallbacks.
  • Build agent workflows (tool calling, state, retries, guardrails, fallback models).
  • Set up evaluation & monitoring: quality metrics, regression tests for prompt/RAG, latency & cost monitoring.
  • Production hardening: prompt-injection defenses, PII handling, rate limits, abuse prevention.
  • Optimize cost/performance: caching, batching, model routing (small/large), context trimming.
  • Collaborate with Product/Design to craft AI UX that feels “wow” and actually works.

Requirements

Requirements (Must Have)

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 2-5 years of experience as AI Engineer.
  • Strong backend engineering (Node.js/TypeScript or Python) with solid API design.
  • Proven experience implementing LLM via API (OpenAI/Claude/Gemini) in production or serious shipped projects.
  • Strong understanding of: tokens/cost, embeddings, retrieval, hallucination mitigation, and evaluation mindset.
  • Familiar with databases & simple pipelines (Postgres/MySQL, queue, cache).
  • Engineering maturity: debugging, testing, logging, documentation.

Plus Points (Nice to Have)

  • Experience with LangChain/LlamaIndex (or custom orchestration).
  • Vector DB experience (pgvector, Pinecone, Qdrant, Weaviate).
  • Audio pipeline experience (STT/TTS) for interview simulation.
  • MLOps/observability stack (OpenTelemetry, Prometheus/Grafana, Sentry, etc.).
About Kharisma Potensia Indonesia
Learn More

PT KHARISMA POTENSIA INDONESIA Committed to being part of the formation of Quality Indonesian Human Resources, with focus on the formation of work systems, the self concept and training to build superior to be able make a significant contribution wherever they are.

Industry
Human Resources and Consulting
Location
Jakarta, Indonesia
Company Size
>100 employees