Forward Deployed Engineer

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realfast

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

realfast is a company that specializes in implementing and managing AI-powered solutions on the Salesforce platform, aimed at enhancing operational efficiencies across various business sectors. With a focus on AI transformation, realfast deploys and optimizes Agentforce solutions that help organizations improve key business metrics while simplifying AI adoption. Their proprietary processes ensure rapid implementation and continuous optimization of AI resources, making them a trusted partner for companies looking to streamline their workflows and maximize ROI.

📋 Description

• Build solutions for real customer problems using the technology best suited to the task • Work across front-end, back-end, data pipelines, and AI models • Operate in cockpit mode by directing AI agents to write code, run tests, open pull requests, update tickets, and manage work systems • Balance elegant code with rapid delivery • Explore approaches that may improve how software is built • Help identify and hire engineers who can operate at the required speed • Work directly with customers and founders in client delivery • Ship production software that meets SLAs and improves client business metrics

🎯 Requirements

• 2–5 years of software engineering experience • Strong coding skills across multiple programming languages • Understanding of how businesses make money with software • Comfort working independently in ambiguous environments • Comfortable using a terminal • Experience building personal apps, scripts, or tools • Daily use of AI coding assistants such as Claude Code, Codex, or equivalent • Willingness to learn and use Git • Ability to reason through problems and explain thinking clearly in writing • Experience shipping full-stack features, working directly with consultancy or agency clients, coding and automating as a QA engineer, building production UI as a designer, developing hands-on as a business analyst or PM, or building applications as a DevOps/platform engineer • Ability to work across engineering, delivery, and client contexts • Willingness to work across the stack rather than specialize narrowly

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