Enter a job title or keyword
Forward Deployed Engineer – Retail & AI Solutions
Job Location:
Monthly Salary:
Posted:
10 August 2026 (4 hours ago)
Posted:
Application Deadline:
7 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Forward Deployed Engineer Retail & AI Solutions
This is a hands-on engineering role with a consultants context: you will spend part of your week in discovery conversations with merchandising store operations e-commerce and supply chain stakeholders and the rest writing production-grade code that solves what you heard. AI is central to how we deliver you will build LLM-powered features and agentic workflows and you will use AI-assisted development tools such as Claude Code as a core part of your daily engineering practice.
This is not a pre-sales or demo role. There is no sales quota. Success is measured by working software in the clients production environment and the business outcomes it drives.
Experience: 6 years Location: Onsite at client locations (with travel as required) Type: Full-time
About the Role
Forward Deployed Engineers (FDEs) are senior engineers who embed directly with our retail clients to scope build and ship production software not demos not proofs-of-concept. You will sit with the clients business and technology teams translate ambiguous business problems into working systems and own what you build from first deployment through stabilization.This is a hands-on engineering role with a consultants context: you will spend part of your week in discovery conversations with merchandising store operations e-commerce and supply chain stakeholders and the rest writing production-grade code that solves what you heard. AI is central to how we deliver you will build LLM-powered features and agentic workflows and you will use AI-assisted development tools such as Claude Code as a core part of your daily engineering practice.
This is not a pre-sales or demo role. There is no sales quota. Success is measured by working software in the clients production environment and the business outcomes it drives.
What You Will Do
- Discover and scope: Embed with retail client teams to understand the real business problem beneath the stated ask across areas such as e-commerce POS order management inventory pricing/promotions and supply chain and define solutions where no spec exists.
- Build production software: Design and ship full-stack applications and services (Angular front ends back ends REST/GraphQL APIs) inside or integrated with the clients environment.
- Engineer AI solutions: Build LLM-powered features retrieval-augmented generation (RAG) agentic workflows tool/function calling prompt pipelines and take them from prototype to production with proper evaluation guardrails and monitoring.
- Work AI-natively: Use Claude Code and similar AI-assisted development tools to compress delivery timelines and help client engineering teams adopt these practices effectively and safely.
- Integrate with enterprise systems: Connect to the clients existing landscape commerce platforms ERP/OMS/WMS POS data warehouses identity/SSO and navigate security compliance and change-management processes.
- Own what you ship: Handle deployment monitoring incident response and iteration after go-live; stabilize and improve rather than hand off and leave.
- Close the loop: Feed field learnings back into our delivery playbooks reusable assets and product/solution roadmap.
Must-Have Qualifications
- 6 years of professional software engineering experience with a track record of shipping and operating production systems end-to-end (not only feature work within a large team).
- Strong full-stack skills: Angular (or a comparable modern SPA framework with willingness to work in Angular) and plus solid fundamentals in API design SQL/NoSQL data modeling and testing.
- Hands-on AI engineering experience: you have built and shipped at least one real LLM-powered application or workflow (RAG agents tool calling prompt engineering evals) beyond tutorials or personal experiments.
- Working fluency with AI-assisted development Claude Code or equivalent agentic coding tools and sound judgment about where they accelerate work and where they need human review.
- Retail domain exposure: you have delivered software for retail or consumer commerce businesses and can speak the language of at least one area e-commerce stores/POS order management inventory pricing or supply chain.
- Client-facing strength: experience working directly with business stakeholders comfort presenting and defending technical decisions and the ability to operate with incomplete information.
- Cloud deployment experience on AWS Azure or GCP including CI/CD and basic observability.
- Willingness to work onsite at client locations with travel as required by the engagement.
Nice to Have
- Experience with the Anthropic API / Claude models MCP (Model Context Protocol) or agent frameworks such as LangGraph or the Claude Agent SDK.
- Python for data and AI workloads; exposure to data platforms (Snowflake BigQuery Databricks) and pipeline tooling.
- Direct experience with retail platforms and systems e.g. commerce platforms (Salesforce Commerce Shopify commercetools) SAP or other ERPs OMS/WMS or POS systems.
- Prior consulting professional services or startup experience where you owned outcomes rather than tickets.
- Experience mentoring engineers or leading small delivery pods.
Who Thrives in This Role
FDEs are generalists with depth: engineers who are energized by ambiguity get satisfaction from seeing their software used by real businesses within weeks and are comfortable being the technical face of the company at a client site. If you prefer a fixed backlog a single codebase and minimal stakeholder contact this role is probably not the right fit and thats okay.Why VirtuosicTechnologies
- Work at the intersection of retail and applied AI on problems where your code visibly moves business metrics.
- An AI-native engineering culture: Claude Code and agentic tooling are part of how we build not an afterthought.
- High ownership and fast feedback loops you scope it you build it you run it.
- A pathway to senior client-facing technical leadership (Principal FDE / Engagement Architect).
