Deskripsi pekerjaan Senior AI Engineer PT Godigi Prima Satya
Senior AI Engineer
We're looking for an exceptional AI Engineer who can take AI products from idea to production. This is not a prompt-engineering role. We need someone who deeply understands modern AI systems, can conduct research, design architectures, build production-grade solutions, and deploy scalable AI products used by real users.
You will be expected to work across the entire AI stack: research, experimentation, agent systems, RAG, backend engineering, infrastructure, deployment, optimization, and monitoring.
What You'll Do
* Design and build AI-powered products from scratch, from concept to production.
* Research and evaluate new AI technologies, frameworks, models, and architectures.
* Build advanced AI agents capable of reasoning, planning, tool usage, memory management, and multi-step task execution.
* Design and implement sophisticated RAG systems with retrieval optimization, hybrid search, reranking, memory, and knowledge management.
* Architect end-to-end AI workflows, orchestration systems, and autonomous agent pipelines.
* Integrate LLMs with APIs, databases, third-party services, and enterprise systems.
* Deploy and maintain production-grade AI infrastructure with reliability, scalability, and observability in mind.
* Optimize model performance, latency, cost, context management, and inference workflows.
* Design evaluation frameworks, benchmarking systems, and AI quality monitoring.
* Work closely with product and business teams to rapidly experiment, validate ideas, and ship features.
* Drive technical decisions related to AI architecture and long-term platform strategy.
* Stay ahead of developments in the AI ecosystem and continuously introduce new approaches when beneficial.
Requirements
* Strong software engineering background with proven experience building production systems.
* Expert-level Python skills and solid backend engineering fundamentals.
* Deep understanding of LLMs, AI agents, RAG architectures, embeddings, vector databases, and orchestration frameworks.
* Experience designing and deploying production AI applications used by real users.
* Strong understanding of prompt engineering, context management, tool calling, memory systems, and agent planning.
* Experience building scalable backend services, APIs, asynchronous systems, and distributed architectures.
* Familiarity with cloud infrastructure and deployment workflows.
* Ability to independently research unfamiliar problems and turn findings into working solutions.
* Strong system design, debugging, and problem-solving skills.
* Comfortable working in fast-moving environments with high ownership.
Preferred Experience
* Experience with LangGraph, OpenAI SDK, MCP, AutoGen, CrewAI, OpenHands, OpenClaw, or similar agent frameworks.
* Experience building autonomous agents and multi-agent systems.
* Experience with local and self-hosted models (Llama, Qwen, DeepSeek, Mistral, etc.).
* Experience with vector databases, knowledge retrieval systems, and search infrastructure.
* Experience with Docker, Kubernetes, Redis, PostgreSQL, message queues, and distributed systems.
* Experience with AI evaluation, guardrails, observability, and monitoring.
* Understanding of AI security, prompt injection, jailbreaking, sandboxing, and agent safety.
* Experience fine-tuning models, synthetic data generation, or AI research projects is a strong plus.
