Forward Deployed Engineer

About Attri

Attri is AI consulting and engineering for regulated teams. We take clients from ROI-ranked strategy to custom agents deployed in production, governed end-to-end by Enterprise OS a managed governance service built on five control pillars: Identity Access, Data Lifecycle, Evidentiary Record, Pre-Prompt Governance, and Intelligence Continuous Assurance. We work with legal, healthcare and financial services teams who have to prove their AI is safe to run self-hosted, VPC or on-prem, with SOC 2 Type II and HIPAA + BAA.

Responsibilities

• Own accounts end-to-end. Lead discovery directly with client stakeholders from ops analysts to VPs and CTOs and translate ambiguous business problems into a concrete technical solution and delivery plan. No layer of PMs or solution architects between you and the customer.
• Build the thing. Design, build, and ship production systems: agent workflows using latest AI frameworks, custom data pipelines, backend services, RAG systems, document/voice automation, and full-stack apps that create measurable value.
• Integrate into the real world. Wire agents into the client's existing stack CRMs, ERPs, databases, internal APIs, auth (SSO/SAML/OAuth), and legacy systems that were never meant to talk to anything.
• Own reliability. When a deployment breaks in production, you diagnose and fix it often live, with the client's team in the room. You own the outcome, not just the code.
• Move fast with AI. Use AI coding tools and agentic workflows as a daily force multiplier you should be shipping more, faster, because you use these tools well.
• Close the product loop. Spot patterns across deployments, turn one-off solutions into reusable building blocks, and feed field insight back to the core product team so the platform improves with every engagement.

Requirements

• 35 years building and shipping production software, with a track record of owning systems end-to-end not just features.
• Strong backend + full-stack ability. Production-grade Python, plus fluency in TypeScript/JavaScript (Go/Java a bonus). Comfortable across API, data layer, and a functional front end when the job needs one.
• Solid data chops. Confident with SQL and building/operating data pipelines and integrations across REST/GraphQL APIs.
• Cloud deployment fluency. AWS/GCP/Azure, containers, CI/CD, and enough infra sense to stand up and debug a client deployment yourself.
• Modern AI fluency. Hands-on with LLMs, RAG, agent orchestration, and prompt engineering you've built with these, not just read about them.
• The army of one temperament. You can run a client meeting, scope the work, build it, and support it and you're energized by owning that whole arc.
• Client-facing communication in English. You can hold your own in a room with senior stakeholders, run discovery, and explain technical trade-offs to non-technical people with low ego. You listen well and translate even better.
• Comfort across time zones. Many of our clients are global (incl. US); you're okay with occasional overlap hours and async collaboration.
• Radical ownership and comfort with ambiguity. You default to figuring it out. Undefined problems and shifting requirements are the job, not the exception.

Great to have

• Prior client-facing / consulting / solutions / forward-deployed experience.
• Enterprise integration experience (SSO, security reviews, compliance-sensitive environments).
• Domain exposure in document processing, workflow automation, or any AI-first use cases.
• Startup or 01 experience you've been the person who makes things exist.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.