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Implementation Engineer
LAHZOImplementation Engineer overseeing client onboarding and configuring AI agents at Lahzo's platform. Managing integrations and translating business needs into technical setups.
Posted 6/18/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $170,000 per yearWebsite
Tech Stack
Tools & technologiesBigQueryMongoDBPythonRedisSQLTypeScript
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- medical
- vision
- dental
- unlimited PTO
- 401k
- collaborative, growth-focused, high-trust, high-performance environment where your ideas matter
ATS Keywords
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Hard Skills & Tools
API integrationsTypeScriptPythonAI systemsLLM behaviorSQLBigQueryMongoDBRedisdebugging
Soft Skills
project managementclear communicationproblem-solvingstakeholder alignmentpattern identificationdocumentationownershipadaptabilityclient understandingtechnical translation