AI Engineer
# AI Engineer **SUPERFUTUREKOMPANY** · Jakarta · `On-site` 🕒 **Статус:** *Опубликовано: 4 дня назад* · *Источник: Indeed* --- ### About the Role ABOUT SUPERFUTUREKOMPANY We landed our first assignment on 19 AUGUST 2008. Over the last decade, we’ve reinvested a significant part of what we earned from our clients into developing our talents, advancing our technologies, and building the operational infrastructure needed to deliver enduring and scalable solutions in the new world we now live in. Today, we stand on five essential pillars: Data. Design. Technology. Applied AI. Cybersecurity. Not in isolation, but as one unified foundation; serving clients across Asia, Middle East and Africa. WHAT WE'RE LOOKING FOR We are looking for an AI Engineer who can design, build, deploy, and maintain production-grade AI applications, particularly LLM, RAG, and AI Agent systems. REQUIREMENTS 2+ years of experience in software engineering, AI engineering, or a related field. Strong proficiency in Python. Experience integrating LLM APIs such as OpenAI, Qwen, Gemini, or Claude. Strong understanding of LLM concepts including prompting, tokens, context windows, structured outputs, and function/tool calling. Hands-on experience building RAG systems, including document ingestion, chunking, embeddings, vector search, metadata filtering, and reranking. Experience with PostgreSQL and vector databases such as pgvector, Qdrant, Pinecone, or equivalent. Experience developing REST APIs and backend services. Familiarity with Docker and Linux-based environments. Experience with Git and collaborative software development workflows. Ability to evaluate and improve AI systems using measurable metrics such as accuracy, relevance, hallucination rate, latency, and cost. Strong debugging and problem-solving skills. Understanding of AI application security, including prompt injection, sensitive data handling, API key security, and access control. NICE TO HAVE Experience with AI Agents, LangGraph, MCP, or tool-based AI workflows. Experience with self-hosted/open-source LLMs such as Qwen or Llama. Experience with vLLM, Hugging Face, LoRA/QLoRA, or model fine-tuning. Experience with multimodal AI, OCR, speech, or vision models. Experience with cloud infrastructure, GPU deployment, Kubernetes, or MLOps. Experience implementing AI observability, evaluation pipelines, and cost optimization. WHAT WE VALUE We are looking for someone who can understand a business problem, determine the right AI/ML approach, build it, evaluate it, and improve it, not simply integrate an LLM API. You will work alongside our existing Backend and DevOps teams, allowing you to focus primarily on AI/ML engineering and solution development. Senior candidates who can lead AI architecture and technical direction are also welcome to apply. 100% WFO Work Location: In person
Наблюдалась 2026-09-15, впервые 2026-09-11, источник — Indeed.