Implementation Engineer

Monks • San Francisco, CA

1d • Hybrid

About The Position

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.

Requirements

• 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).
• Proven ability to prototype quickly using tools such as Python, Apps Script, or no/low-code platforms.
• Strong communication and stakeholder management skills, with experience working between technical and creative teams.
• Ability to document, train, and enable non-technical users effectively.

Nice To Haves

• Background in applied AI, creative technology, or implementation engineering.
• Has worked with Google as a client before.
• Hands-on exposure to LLM orchestration frameworks and AI toolchains.
• Passion for experimentation and a “builder” mindset.

Responsibilities

• Act as the primary liaison between Business Units, clients, and the Core Engineering team to ensure technical deliverables meet user needs.
• Collaborate with creative and operations teams to rework prompts, refine system instructions, and improve AI-driven experiences.
• Spin up, configure, and maintain new AI agents and Agentic flows within existing tools and environments using existing Google frameworks.
• Collect and synthesize user and BU feedback into structured feature requests for the Core Engineering team.
• Maintain clear documentation on implementations, configurations, and workflows for cross-team transparency.
• Educate internal teams on new AI tools, best practices, and scalable implementation methods.

Benefits

• Excellent, full coverage medical, dental, and vision insurance
• Generous PTO and 15 company-wide holidays
• 401k with company contribution
• Paid parental leave
• Work-life balance with an emphasis on personal well-being
• Career growth in a disruptor space & entrepreneurial opportunities within the Monks network
• A globally diverse & inclusive culture with employee resource groups such as S4 Melanin, Pride.Monks, Cultura.Monks, and more!
• Authentic commitment to DEI efforts and sustainable growth.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed