Implementation Engineer

Posted Yesterday
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Atlanta, GA, USA
In-Office
140K-170K Annually
Senior level
Artificial Intelligence • Marketing Tech • Software
The Role
Own end-to-end technical onboarding of new clients: integrate CRMs and data sources, configure and tune AI agents and prompts, debug integrations and agent behavior across the stack, translate business needs into technical setups, and document/standardize onboarding patterns to reduce time-to-live.
Summary Generated by Built In

At Lahzo, we help companies with complex sales cycles grow revenue more efficiently by combining precision-targeted demand generation with autonomous AI agents. Our platform doesn't just capture leads — it orchestrates the entire buyer journey, reducing friction and turning intent into revenue.

Backed by experienced founders and technologists, we're building an AI sales engine that gets smarter with every interaction. As we scale across verticals, the ability to onboard clients quickly and configure our AI agents with precision has become a core competitive advantage.

We're seeking an Implementation Engineer to own the technical onboarding of new clients onto Lahzo's platform. This is not a traditional integration role. You'll connect client systems to Lahzo's infrastructure and configure the AI agents that represent those clients — which means understanding not just how systems talk to each other, but how context, prompts, and configuration decisions shape AI behavior in production.

What You'll Do

  • 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. Maintain clear records of integration patterns, agent configurations, and known behaviors to build institutional knowledge and reduce ramp time on future clients.

What We're Looking For

  • 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
Compensation
  • Base: $140k - $170k
  • Equity: Participation in our equity award program.

Benefits 

Benefits include medical, vision, dental, unlimited PTO, a 401k and most of all, a collaborative, growth-focused, high-trust, high-performance environment where your ideas matter.

Why Join Us

  • Variety of real problems: No two clients are the same—you'll encounter a broad range of challenges that keep the work interesting and your skills sharp
  • Direct impact: Work alongside founders with immediate influence on strategy, product, and company direction
  • Foundational role: We're building the implementation playbook from scratch. Your patterns, documentation, and decisions will shape how Lahzo scales.
  • Smart, collaborative team: Work with curious, driven people building products that create real customer impact

Ready to Apply
We're looking to fill this position as soon as we find the right candidate. If you're excited about building a product that drives real results and being a member of a high-growth AI startup we'd love to hear from you.

Equal Opportunity Employer
Lahzo is committed to building a diverse and inclusive team. We provide equal employment opportunities to all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We welcome applicants from all backgrounds and will provide reasonable accommodation as needed.

Skills Required

  • Hands-on experience with API integrations and third-party system connectivity, including legacy or messy data sources.
  • Solid foundation in TypeScript, Python, or equivalent backend languages to build, debug, and modify integrations.
  • Working familiarity with AI systems and LLM behavior; ability to configure agents and understand prompt/context effects.
  • Experience with databases (SQL on BigQuery, MongoDB, Redis or similar).
  • Strong project management instincts and ability to own timelines and surface blockers.
  • Clear communicator able to translate technical requirements into plain language for clients and account managers.
  • Comfortable working in a fast-paced startup environment with wide scope and evolving processes.
  • Low ego, high ownership; follows problems through to resolution.
Am I A Good Fit?
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The Company
32 Employees
Year Founded: 2023

What We Do

Building industry-specific AI growth solutions to complete a perfect revenue circle: data-driven marketing driving customers to an AI sales agent. Consistent delivery, immediate access, and infinitely scalable.

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