
Forward Deployed Engineer
Posted Sep 23

Posted Sep 23
This is a fully remote position, open to applicants in Argentina, +5 more countries.
β’ Oversee and manage the complete delivery lifecycle: discovery, design, development, verification, release, and handling post-release incidents.
β’ Address unassigned tasks, including managing access, analyzing unexplained datasets, and facilitating integrations.
β’ Engage directly with clients, which includes respectfully declining requests while providing reasoning and alternative solutions.
β’ Ensure that acceptance criteria are fulfilled without necessitating a separate testing phase.
β’ Achieve consistent delivery utilizing AI agents through specifications and tests first, maintaining committed agent context, and implementing gates for every modification.
β’ Operate within client environments, which may involve working with repositories, participating in standups, and occasionally joining customer calls.
β’ Leverage AI coding tools such as Claude Code and Codex.
β’ Collaborate across OpenAI, Anthropic, and open-weight models, utilizing Azumo's Valkyrie production layer when suitable.
β’ Uphold quality by conducting automated codebase audits that address security, cost, and architectural concerns.
β’ Serve as the technical lead and responsible owner for client engagements.
β’ 7+ years of experience in building and deploying production software, with expertise in at least one of the following areas: product software, data pipelines and retrieval, modeling and applied AI, or AI systems in a production environment.
β’ Proven experience as the sole engineer on a project or as the first engineer on a new client engagement.
β’ A history of delivering work within another organization's environment β following their repository standards, conventions, and limitations β with minimal supervision and without a predetermined specification.
β’ Direct experience working with clients, including defining project scope with stakeholders, addressing requests assertively, and earning their trust.
β’ End-to-end ownership of at least one production system, including management of incidents.
β’ Daily engagement with AI coding agents beyond mere autocomplete, including executing repository tasks, maintaining repository-level context, and reviewing all merged changes.
β’ Experience with cloud deployments on Azure or AWS.
β’ Familiarity with Docker, CI/CD pipelines, and infrastructure as code using GitHub Actions, Terraform, or Bicep.
β’ Proficiency in English at a C1/C2 level.
β’ A Bachelorβs degree in Computer Science, a related field, or equivalent professional experience.
β’ Preferred: substantial experience in a secondary area of expertise.
β’ Preferred: experience delivering under compliance frameworks such as SOC 2 or HIPAA.
β’ Preferred: background in consulting, agency work, or client services.
β’ Preferred: contributions to open-source projects, published technical articles, or active participation in engineering communities.
β’ Paid time off (PTO).
β’ Observance of U.S. Holidays.
β’ AI Training opportunities.
β’ Mentored career development support.
β’ Profit-sharing program.
β’ Competitive remuneration in U.S. dollars.
Sargent & Lundy
Willow Innovations, Inc.
Astrolab
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