Forward Deployed AI Engineer

🕒 Agosto 7

🇬🇧 Reino Unido – Remoto (RU)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 17%

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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gravity9

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

🏥 Saúde

🏭 Manufatura

Consulting • Healthcare • Manufacturing

gravity9 é uma empresa de transformação digital especializada em modernizar sistemas legados aproveitando tecnologias de ponta, como IA, computação em nuvem e arquitetura de microsserviços. Eles oferecem soluções para impulsionar as organizações na era digital, aumentando a agilidade, escalabilidade e vantagem competitiva. A abordagem da gravity9 envolve a integração de práticas inovadoras de engenharia para simplificar operações, reduzir dívida técnica e preparar infraestruturas digitais para o futuro. Eles focam em modernização estratégica que não só supera as restrições do legado, mas também capacita as empresas a prosperarem no ambiente de mercado dinâmico de hoje.

Descrição

• Work embedded in the client's environment from discovery through architecture, build, production, and handover • Design and build production agentic AI systems for enterprise clients • Implement multi-agent orchestration, tool and function calling, retrieval, planning, routing, human-in-the-loop checkpoints, state management, guardrails, and failure recovery • Build ingestion and enrichment pipelines for structured and unstructured data, documents, PDFs, and object storage • Establish evaluation datasets, automate grading, and track groundedness, faithfulness, and retrieval quality • Optimize model selection, routing, prompt and context budgets, caching, cost, and latency • Deliver observability, tracing, CI/CD, infrastructure as code, monitoring, security, and compliance controls • Collaborate with client architects, DevOps, QA, and engineers in the client's codebase and cloud tenancy • Transfer knowledge through pairing, documentation, monitoring handover, and client enablement • Contribute to scoping, estimation, pre-sales, reusable assets, and interviewing as applicable to level

🎯 Requisitos

• Strong Python, including async, typing, testing, and packaging • Working competence in TypeScript / Node is a plus • Hands-on production experience with frontier models, prompt and context engineering, structured outputs, tool and function calling, streaming, and token/context-window management • Experience building and shipping multi-agent or agentic workflows, planner/router patterns, supervisor and sub-agent designs, ReAct-style loops, state and checkpointing, retries, interrupts, and human-in-the-loop review gates • Experience with Anthropic Agent SDK, LangGraph, LlamaIndex, or an equivalent orchestration framework • Knowledge of chunking, embeddings, hybrid and semantic search, re-ranking, citation and provenance, and natural-language-to-query translation • Experience with NoSQL databases such as MongoDB or equivalent, plus SQL; ability to design schemas for agent retrieval • Experience building ingestion and enrichment pipelines over messy structured and unstructured sources • Experience building evaluation harnesses and datasets, LLM-as-judge systems, regression tests, and use-case-specific metrics • Production delivery on AWS including Bedrock, Azure, or GCP; containers, serverless, networking basics, secrets management, and IAM • Git, code review, testing, CI/CD, infrastructure as code, and observability • Mid FDE: 3+ years software engineering and 1+ year hands-on LLM/agentic work, including at least one production system • Senior FDE: 5+ years engineering and 2+ years AI or agentic AI, including end-to-end architecture ownership of a production agent system • Lead FDE: 7+ years, delivery-team leadership, engagement technical leadership, pre-sales, estimation, and mentoring • Client-facing credibility, technical and business communication, translation of business problems into technical designs, collaboration, ambiguity tolerance, production focus, teaching, ownership, commercial awareness, resilience, and clear written communication in English • Occasional travel • Anthropic certification is an advantage, not a requirement

🏖️ Benefícios

• Support for vendor certifications • Access to partner training programmes • Company-wide AI tooling as part of how we work day to day

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