RESPONSIBILITIES
- Develop web-based LLM-based applications including work on frontend (20%), backend (60%) and DevOps (20%)
- Test and utilize modern LLM-based concepts such as chains, agents, entity memory, and prompt engineering
- Integrate existing systems to add amazing natural language-based user experiences
- This is a hybrid role requiring your presence onsite 3 days per week, where you will report to the group Engineering Manager
- LLM ベースのウェブアプリケーションを開発します。フロントエンド(20%)、バックエンド(60%)、および DevOps(20%)に関する作業を含みます
- LLMに基づく最新の各種コンセプト(チェーン、エージェント、エンティティメモリ、プロンプトエンジニアリングなど)をテストし、活用します
- 既存のシステムを統合し、自然言語ベースの素晴らしいユーザーエクスペリエンスを提供します
- このハイブリッド型の役割では、週3日オンサイトで勤務し、グループエンジニアリングマネージャーの直属となりレポートしていただきます
MINIMUM QUALIFICATIONS
- Used or built applications powered by LLMs
- Experience with LangChain or similar LLM workflow frameworks; in particular building multi prompt workflows
- Experience as full-stack developer using Python and JavaScript/TypeScript
- Experience building stateful web applications using technologies such as React, Fast API, DynamoDB, Postgres, WebSockets, Server Side Events
- LLM を活用したアプリケーションの使用または構築経験
- LangChain や類似の LLM ワークフレームワークの使用経験、特にマルチプロンプトワークフローの構築経験
- Python および JavaScript/TypeScript を使用したフルスタック開発の経験
- React、Fast API、DynamoDB、Postgres、WebSockets、Server Side Events などを利用してステートフルなウェブアプリケーションを構築した経験
NICE TO HAVES
- Experience designing prompts using known and experimental prompt engineering techniques
- Machine learning knowledge especially in NLP or Transformer models
- Experience with OpenAI API, GCP Vertex or similar
- Experience deploying applications to production environments including the ability to manage CI/CD pipelines, infrastructure as code, AWS resources, and Kubernetes resources
- 既存および実験的なプロンプトエンジニアリング技術を用いたプロンプト設計の経験
- NLP や Transformer モデルに関する機械学習の知識
- OpenAI API、GCP Vertex、または類似のサービスの使用経験
- CI/CD パイプライン、インフラストラクチャコード、AWS リソース、および Kubernetes リソースの管理を含む本番環境へのアプリケーション展開経験
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