Forward-Deployed Engineer

We are looking for Forward-Deployed Engineers to embed directly with our enterprise customers and ship production-grade AI deployments end-to-end. This is not traditional consulting and not a sales-engineering role - you will write the code that makes AI actually run inside the customer’s business.

You Will

• work with the customer’s data and systems and own the technical outcome of every engagement
• be part of a small, senior team building one of the first true AI-native delivery models in the region
• turn every deployment you ship into a reusable Reference Solution that compounds across the next 10 customers
• work in a remote and hybrid-friendly model - we do not require you to sit on customer site full-time. You are accountable for proactive customer touchpoints, structured checkpoints, and independent visibility on engagement health
• work directly with founders, the Product Architects, the Solution Architects, and the Forward-Deployed Consultants - no middle management
• be coached by experienced enterprise software founders and former IBM Technology Thought Leaders

Responsibilities

• Working alongside the Forward-Deployed Consultant on assigned customer engagements, owning end-to-end technical delivery from kickoff to production handover
• Designing and building agentic AI workflows, integrations, and pipelines inside the customer’s environment - LLM orchestration, retrieval, evals, observability
• Integrating with customer systems (CRM, ERP, data warehouse, internal APIs, SSO, security tooling) - taking ownership of the “dirty work” that blocks most enterprise AI pilots
• Partnering with the customer’s IT, security, and compliance teams to clear deployment blockers and ship to production safely
• Running your own proactive engagement cadence - weekly checkpoints, written status, surfacing blockers before they become escalations
• Conducting knowledge transfer at the end of every engagement so the customer’s own engineers can run and extend what you built
• Feeding patterns, agents, and reusable code back to the Solution Architect team - every recurring build must become a templatised asset
• White-boarding architectural decisions and turning them into production-grade code, not slideware
• Troubleshooting incidents in the field; protecting the customer’s trust at every turn

• Strong full-stack engineering background - production systems experience, ideally with at least one of the following:

• Backend development in Python / Node.js / Go (FastAPI, NestJS, Loopback or similar)
• Frontend / agent UI in React / Vue / Next.js
• Cloud architecture on AWS / Azure / Alibaba Cloud / GCP (IaC with Terraform a plus)
• Data engineering: ETL pipelines, vector databases, data warehouse integration

Practical experience building with LLMs and agents - prompt design, tool use, RAG, evaluation, guardrails. Experience with Claude, GPT, or open-source models in production is strongly preferred.

Solid understanding of REST API design, web services, authentication (OAuth, SSO, SAML), and secure integration patterns

Comfortable operating without scaffolding - you can land inside an unfamiliar codebase or a customer VPN and start shipping in days, not weeks

Customer-facing maturity - you can run a working session with a VP, translate trade-offs into business terms, and politely push back when needed

Proactive, low-supervision operator - you raise risks early, run your own checkpoints, and keep collaborators in the loop without being asked

Bias to shipped code and adopted workflows over documentation and slides

Strong logical thinking, data sensitivity, and a “can-do” attitude under enterprise-grade constraints

Strong sense of humor and a genuine team player - we send you out in pairs, not aloneSeniority Levels & Career Path

This role is hired at multiple seniority levels - we calibrate the title, scope, and compensation to your experience and demonstrated impact. Stronger candidates land at Senior or Principal; high-potential early-career applicants enter at Associate with a structured coaching path. All levels are full members of the engagement team - Associates are not “assistants”.

Principal FD Engineer8+ years of relevant experience. Owns the most technically complex engagements end-to-end. Sets the engineering bar across the FD pod, mentors Senior FDEs, leads cross-pod technical initiatives with Product and Solution Architects.

Senior FD Engineer5-7 years of relevant experience. Independently leads complex engagements end-to-end; coaches mid-level FDEs; owns security, compliance, and integration patterns within engagements.

FD Engineer3-4 years of relevant experience. Independently delivers within scoped engagements with light senior support; growing leadership scope across integration, code quality, and customer hand-over.

Associate FD EngineerEarly-career with strong potential, demonstrated drive, and a portfolio of shipped projects or repos. Pairs closely with Senior / Principal FDEs; structured 12-18 month coaching path to full FD Engineer.

• 5-day work week with flexible working hours
• Remote- and hybrid-friendly culture - no requirement to sit on customer site full-time, with structured proactive cadence to keep engagements healthy
• Flat company structure and working directly with founders and core members in a small senior team
• Pairing rotation: every deployment is staffed FDC + FDE - you always have a technical partner in the room
• Direct exposure to senior enterprise stakeholders from day one
• On-the-job training and coaching by certified leaders in Technology Consulting and Enterprise AI

About Our Team FabriXAI is a team of experienced founders based in London, specializing in Enterprise Software, SaaS, and AI technologies. Our innovative solutions have empowered clients across diverse sectors, including banking, insurance, healthcare, construction, and public services. With teams located in the United Kingdom and Hong Kong, we are uniquely positioned to support regional enterprises and tech startups, promoting cross-sector API collaboration. Our expertise has been recognized in several prestigious tech accelerator programs, including the AWS HK GenAI Accelerator and Barclays Eagle Labs Product Growth Programme.

Want to shape how enterprises actually adopt AI?