Staff Software Engineer, Applied AI

🕒 Outubro 29

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $160.000 - $200.000 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 5%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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TopDog Law

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2019

💼 Consultoria

📣 Marketing

⚖️ Jurídico

Consulting • Marketing • Legal

TopDog Law é uma rede nacional de marketing e uma marca de escritório de advocacia especializada em lesões pessoais que conecta indivíduos feridos a advogados locais em todos os Estados Unidos. A organização (incluindo Helm Law Group, LLC) foca em casos de acidentes e lesões — acidentes de carro e caminhão, erro médico, lesões de nascimento, abuso em casas de repouso, abuso sexual, quedas, compensação de trabalhadores e morte por negligência — oferecendo revisões de casos gratuitas e representação com honorários contingentes. A TopDog Law opera uma rede de firmas parceiras licenciadas em diferentes estados, mantém vários escritórios em todo o país e enfatiza a comunicação com o cliente, o alcance por meio de publicidade e a conexão de clientes a advogados locais licenciados.

Descrição

• Architect and build internal tools and platforms for operations teams from design through deployment and ongoing operation • Own reliability and incident follow-through • Define service boundaries, integration patterns, data flows, technical strategy, and RFCs across teams • Reduce operational toil through system retirement, consolidation, tech debt management, and migrations • Build reliable legacy and third-party SaaS integrations with security, access control, and audit trails • Identify appropriate applications for AI and design retrieval, agent, LLM-powered, and workflow automation features • Run time-boxed proofs of concept and advance successful concepts into production-ready solutions with evaluation, observability, reliability, and security • Assess AI maturity, define a practical roadmap, and track AI cost and ROI • Design data models and instrumentation that generate clean, usable analytics data • Align teams on shared platforms, standards, and tradeoffs across competing priorities • Lead code reviews, design reviews, and engineering standards, using AI coding tools such as Claude Code and GitHub Copilot • Mentor engineers and advise stakeholders and leadership on technical tradeoffs and decisions

🎯 Requisitos

• 10+ years of professional software engineering experience • Staff or Principal-level scope, including leading architecture or major technical initiatives across multiple teams • Hands-on experience building applications with LLMs and generative AI in production • Experience operating AI systems at scale and measuring outcomes • Experience rolling out agentic systems into production, including evaluation, guardrails, and monitoring • Strong backend and systems design skills, including APIs, data modeling, cloud infrastructure, and legacy and third-party SaaS integrations • Reliability engineering experience, including SLOs, idempotency, retries, partial failure handling, and data consistency • Experience building systems that handle sensitive data, including access control, audit trails, and PII and privileged data handling • Experience with tech debt strategy, migrations, and system deprecation • Experience designing data models and instrumentation for analytics • Working knowledge of RAG, embeddings, vector search, prompt, harness, and context engineering, tool use and agents, and evaluation methods • Ability to weigh build-versus-buy tradeoffs against cost, complexity, and business value • Strong communication skills, including explaining AI concepts to non-technical audiences and driving decisions to closure • Preferred: experience with vector databases and search technologies • Preferred: experience with modern data stacks such as BigQuery, Snowflake, or dbt • Preferred: experience building internal tools or platforms for operations teams • Preferred: familiarity with ML fundamentals, fine-tuning, or model evaluation frameworks • Preferred: experience with AI cost management, including token usage, model selection, and caching • Preferred: background in legal or financial services

🏖️ Benefícios

• Medical, dental, and vision insurance • 401(k) with company match • HSA • Life insurance • Disability coverage • Paid time off • Parental leave

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