Job Description
Implementation Engineer
Monks • Los Angeles, CA, United States • via LinkedIn
12 hours ago
Full–time
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Job highlights
Identified by Google from the original job post
Qualifications
Strong understanding of AI systems, particularly within the Google AI ecosystem (Vertex AI, Gemini, etc.)
Experience with prompt engineering, grounding, system instruction tuning, and AI agent configuration
Familiarity with API integrations, data workflows, and cloud-based architectures (especially Google Cloud)
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Benefits
If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week
Excellent, full coverage medical, dental, and vision insurance - more about our coverage here!
Generous PTO and 15 company-wide holidays
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Responsibilities
The Implementation Engineer is a key bridge between the Business Unit (BU), the extended client organization, and the Core Engineering team
Acting as both advocate and enabler, this role ensures that client needs are understood, validated, and efficiently translated into scalable technical solutions
Deeply embedded in the Google AI ecosystem, the Implementation Engineer rapidly prototypes, tests, and validates new AI-driven workflows and solutions
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Job description
Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
About The Role
The Implementation Engineer is a key bridge between the Business Unit (BU), the extended client organization, and the Core Engineering team. Acting as both advocate and enabler, this role ensures that client needs are understood, validated, and efficiently translated into scalable technical solutions.
Deeply embedded in the Google AI ecosystem, the Implementation Engineer rapidly prototypes, tests, and validates new AI-driven workflows and solutions. Once proven, they collaborate with Core Engineering to productionize and scale them across the broader system. This role sits at the intersection of technology, creativity, and innovation—empowering creative teams to harness AI tools effectively, refine prompts, optimize system instructions, and evolve new agents and features that push the boundaries of what’s possible.
Responsibilities
• Client & BU Advocacy: Act as the primary liaison between Business Units, clients, and the Core Engineering team to ensure technical deliverables meet user needs.
• Workflow Optimization: Collaborate with creative and operations teams to rework prompts, refine system instructions, and improve AI-driven experiences
• Agent/Agentic Development: Spin up, configure, and maintain new AI agents and Agentic flows within existing tools and environments using existing Google frameworks.
• Feature Translation: Collect and synthesize user and BU feedback into structured feature requests for the Core Engineering team.
• Technical Documentation: Maintain clear documentation on implementations, configurations, and workflows for cross-team transparency.
💡 Quick Summary
Seeking a career-building opportunity? The Implementation Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Los Angeles offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
