Senior Engineer, AI

🕒 Julho 29

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Delta Exchange

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2018

₿ Cripto

💳 Fintech

🏪 Marketplace

💰 $5.000.000 Initial Coin Offering - Delta Exchange em 2021-03

Crypto • Fintech • Marketplace

A Delta Exchange é uma bolsa de derivativos de criptomoedas que oferece negociação de futuros e opções para as principais criptomoedas, como Bitcoin e Ether. Ela fornece mercados 24/7 com gerenciamento de margem eficiente, margem e P/L denominados em INR, e depósito/retirada e liquidação em INR, permitindo que usuários na Índia negociem derivativos de criptomoedas sem possuir os ativos subjacentes. A plataforma é registrada na FIU (Governo da Índia) e apresenta recursos como um marketplace de algoritmos, listagem de tokens incluindo tokens RWA, e ferramentas de negociação profissionais otimizadas para dispositivos móveis e web.

Descrição

• Design, build, and maintain production AI applications end-to-end: backend, frontend, and inference services. • Architect RAG systems using vector databases, embedding models, and chunking strategies optimised for accuracy and latency. • Build agentic workflows with tool/function calling, multi-step reasoning, and structured output parsing, with accuracy and control as priority. • Write and iterate on system prompts, few-shot examples, and prompt chains to maximise output quality. • Implement function calling, tool-use patterns, and structured JSON/XML output handling using frontier and lightweight models from providers like Anthropic and OpenAI. • Drive cost optimisation: model selection, caching, token budgeting, and request batching at scale. • Build and maintain evaluation frameworks to measure accuracy, relevance, hallucination rates, and regression across prompt and model changes. Experience with observability tools (Sentry, Opik, etc.) is a must. • Work with message queues (RabbitMQ), caching layers (Redis), and relational databases (PostgreSQL) powering AI service backends. • Deploy and manage AI services on Kubernetes with CI/CD pipelines on AWS/GCP. • Integrate AI capabilities with third-party platforms (Telegram bots, chat widgets, etc.). • Contribute to architectural decisions: model selection, hosting (cloud APIs vs. self-hosted), and build-vs-buy trade-offs.

🎯 Requisitos

• 5+ years shipping production software systems. • 2 years building AI/LLM-powered applications end-to-end with real users and volume. Not prototypes. • Strong experience with RAG architectures: vector databases, embedding models, chunking/indexing strategies, and retrieval evaluation. • Deep understanding of LLM capabilities and limitations: prompt engineering, function/tool calling, structured outputs, context window management, and multi-turn conversations. • Experience with LLM provider APIs and abstraction layers (OpenAI, Anthropic, LiteLLM, OpenRouter, or similar). • Proficiency in Python (Flask/FastAPI) and/or Node.js/TypeScript (Next.js, Vercel AI SDK). Golang experience is a plus. • Hands-on experience building evals, tracking quality metrics, and debugging non-deterministic outputs in production. • Familiarity with cost optimisation: model routing, caching, token usage monitoring, and prompt compression. • Solid fundamentals in data structures, algorithms, and system design. • Experience with containerised deployments (Docker, Kubernetes) and cloud platforms (AWS/GCP). Practical understanding of k8s concepts and trade-offs is a must.