Implementation Engineer

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🔥 13 hours ago

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LAHZO

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

LAHZO is an AI-driven growth partner that provides modular AI Sales Agents and integrated digital marketing solutions to help dealers and enterprises attract, engage, and convert customers 24/7. The platform combines proprietary data sets, geospatial analytics, CRM and inventory integrations, and hyper-targeted advertising to deliver personalized ad-to-agent experiences, smart retargeting, and full-funnel marketing. Lahzo focuses on industry-specific deployments (e. g. , RV, marine, powersports, heavy agriculture, industrial) and positions its solution as a scalable, brand-tailored SaaS offering that boosts lead conversion and funnels qualified leads to sales teams.

📋 Description

• Own client onboarding end to end. • Take new clients from signed contract to live AI agent, managing the full technical implementation lifecycle with clear timelines and accountability. • Integrate client systems. • Connect CRMs, lead sources, inventory feeds, websites, and third-party platforms to Lahzo's infrastructure — including legacy systems with incomplete or inconsistent data. • Configure and tune AI agents. • Set up each client's AI agent with accurate business context, communication style, product knowledge, and behavioral parameters. • Understand how prompt and configuration changes affect downstream AI behavior before they reach production. • Translate business needs into technical setup. • Work directly with account managers and clients to understand their business, and turn that understanding into agent configurations that perform. • Debug across layers. • When something isn't working, you trace it through the full stack — integration, data, prompt, and agent behavior — until it's resolved. • Reduce onboarding time. • Identify patterns across implementations and work with the team to standardize, document, and accelerate the onboarding process over time. • Document what you build.

🎯 Requirements

• Hands-on experience with API integrations and third-party system connectivity, particularly with messy or legacy data sources • Solid foundation in TypeScript, Python, or equivalent backend languages — enough to build, debug, and modify integrations independently • Working familiarity with AI systems and LLM behavior — you understand how context and prompts shape agent output, and you can configure AI agents thoughtfully without needing to build them from scratch • Strong project management instincts — you can own a timeline, surface blockers early, and keep technical and non-technical stakeholders aligned • Clear communicator who can translate technical requirements into plain language for clients and account managers, and translate client feedback back into precise technical configuration • Experience with databases — SQL on BigQuery, MongoDB, Redis or similar • Comfortable in fast-paced startup environments where scope is wide and processes are still being built • Low ego, high ownership — you don't wait to be told what to do, and you follow a problem through until it's actually solved

🏖️ Benefits

• medical • vision • dental • unlimited PTO • 401k • collaborative, growth-focused, high-trust, high-performance environment where your ideas matter