At a Glance
- Tasks: Lead the development of cutting-edge Conversational AI solutions and transform prototypes into real-world applications.
- Company: Join Google Cloud, a leader in AI innovation and technology.
- Benefits: Competitive salary, travel opportunities, and access to advanced AI tools.
- Other info: Collaborative culture with excellent career growth and direct access to top engineering minds.
- Why this job: Be at the forefront of the AI revolution and make a significant impact on businesses worldwide.
- Qualifications: Bachelor's degree in a relevant field and extensive software development experience required.
The predicted salary is between 70000 - 90000 £ per year.
hackajob is collaborating with
Google to connect them with exceptional professionals for this role.
As a Forward Deployed Engineer (FDE) in Applied AI, you are the "Agent Engineer" and the primary driver for our customers' most critical AI initiatives.
You take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering life-cycle, including the transition from "Art-of-the-Possible" to real-world business value and scalable, secure AI systems.
In this high-travel, high-impact role, you will be focused on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites.
You will require a deep understanding of software engineering, machine learning operations, and cloud infrastructure.
It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide.
You’ll leverage Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale.
We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems.
We’re a collaborative culture providing direct access to Deep Mind's engineering and research minds, empowering you to solve customer challenges.
Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.
- Minimum Qualifications
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e. g., Google Cloud Platform (GCP).
- Experience deploying resources using Terraform or similar tools, to automate the setup of agents, functions, or networking.
- Experience building full-stack applications that interact with enterprise IT infrastructures, and developing external customer projects.
- Preferred Qualifications
- Master’s or Ph D in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks like Re Act and self-reflection.
- Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real‑time.
- Experience connecting agents to enterprise knowledge bases and optimizing Retrieval‑augmented generation (RAG) chunking to prevent hallucinations.
- Ability to travel up to 50% of the time.
- Track record of troubleshooting live, high‑traffic systems during critical windows.
Responsibilities
- Serve as the lead developer for complex Conversational AI and CX applications, transitioning from rapid prototypes to production‑grade agentic workflows (e. g., multi‑agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment.
- Architect and code conversational flows that are not just functional, but optimized for the "connective tissue" between Google’s Conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters.
- Build high‑performance evaluation (Eval) pipelines and observability frameworks to optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production‑grade security and networking.
- Identify repeatable field patterns and technical "friction points" in Google’s AAI stack, converting them into reusable modules or product feature requests for Engineering teams.
- Co‑build with customer engineering teams to instill Google‑grade development best practices, ensuring long‑term project success and high end‑user adoption.
- #J-18808-Ljbffr
Forward Deployed Engineer, Applied AI, Google Cloud employer: hackajob
At hackajob, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our diverse team thrives in a high-performance environment where your contributions directly impact our multi-asset platform's success. With ample opportunities for professional growth and a commitment to employee development, joining us means being part of a forward-thinking company that values your expertise and ambition.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer, Applied AI, Google Cloud
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at hackajob or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to hackajob.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like hackajob.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like hackajob that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Forward Deployed Engineer, Applied AI, Google Cloud
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at hackajob.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at hackajob and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at hackajob
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If hackajob uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
