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Forward Deployed Engineer – Retail & AI Solutions

Stellaspire

Job Location:

Worli - India

Monthly Salary: Not provided by the employer

Posted: 10 August 2026 (30+ days ago)

Application Deadline: 7 November 2026

Vacancies: 1 Vacancy

Job Summary

Forward Deployed Engineer Retail & AI Solutions

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).

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