Flatgigs
1 - 10 employees
Founded 2023
🎯 Recruiter
👥 HR Tech
Recruitment • HR Tech
Flatgigs is a Dubai-based talent and recruitment firm that partners with investor-backed and investor-ready MENA startups to fill critical revenue-driving roles. They provide end-to-end strategic talent acquisition, performance-focused cultural fit hiring, hyper-accelerated onboarding, and data-driven hiring optimization to maximize hiring ROI and extend runway for startups. Flatgigs positions itself as a B2B partner for high-growth companies and investors, embedding experienced leaders and teams to drive faster revenue milestones and reduce hiring risk.
Forward Deployed AI Engineer
Job not on LinkedIn
🕒 April 28
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Flatgigs
1 - 10 employees
Founded 2023
🎯 Recruiter
👥 HR Tech
Recruitment • HR Tech
Flatgigs is a Dubai-based talent and recruitment firm that partners with investor-backed and investor-ready MENA startups to fill critical revenue-driving roles. They provide end-to-end strategic talent acquisition, performance-focused cultural fit hiring, hyper-accelerated onboarding, and data-driven hiring optimization to maximize hiring ROI and extend runway for startups. Flatgigs positions itself as a B2B partner for high-growth companies and investors, embedding experienced leaders and teams to drive faster revenue milestones and reduce hiring risk.
📋 Description
• The Forward Deployed AI Engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. • Understand operational workflows and convert them into technical artifacts. • Connect to real enterprise systems and data sources. • Build context-aware AI agents, retrieval systems, and automation prototypes. • Help move the best prototypes toward reliable production deployments. • Help ingest, clean, structure, and connect data from enterprise systems into context graph. • Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. • Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications. • Rapidly build proof-of-concepts that show how AI can improve a client's operations. • Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications. • Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.
🎯 Requirements
• Strong Python fundamentals. • Basic backend development experience. • Familiarity with APIs, databases, and cloud services. • Interest in LLMs, agents, retrieval, structured outputs, and tool-calling. • Familiarity with data pipelines and messy real-world datasets. • Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus. • AWS experience is a plus. • Experience with enterprise data, analytics, or workflow automation is a strong plus.
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