Senior Forward Deployed Engineer (AI Agent) - Germany

United States Digital Space LLC; Berlin; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Equity

Benefits

Zusammenfassung

United States Digital Space LLC in Berlin is seeking an AI Agent Engineer to deploy advanced AI agents, integrate with external systems, and drive impactful deployments across customer environments.

You will collaborate with software and ML engineers, gather requirements from customers, and help shape the platform with scalable, secure AI solutions.

The role requires strong coding skills in Python and Golang, experience with LLMs, cloud platforms, and hands-on system integration.

Qualifikationen

• Bachelor’s or Master’s degree in CS, engineering, or a related field.
• 3+ years in software development, AI/ML engineering, or system integration.
• Proficient in Python and Go with experience building AI/ML systems.

Aufgaben

• Develop, configure, deploy, and optimize AI agents.
• Integrate AI agents with external systems via APIs, databases, CRMs, etc.
• Tune prompts and configurations; troubleshoot in complex enterprise environments.
• Gather requirements with customers and translate business needs into AI Agent solutions.
• Conduct interactive demos and iterate to meet objectives.
• Define project milestones and coordinate execution with internal teams.

Kenntnisse

Python

Golang

LLMs

Prompt engineering

Cloud platforms

CI/CD

APIs

Communication

Data-driven

Cross-functional

Ausbildung

Bachelor’s or Master’s degree in CS or related field

Tools

AWS

GCP

Azure

Jobbeschreibung

the company unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. the company’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use the company to power world-class customer experiences every day.

Born from the Stanford AI Lab, the company has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. the company’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining the company to build the future of AI-driven customer experiences.

Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at the company.

About the role:

At the company, the AI Agent team is on a mission to create state-of-the‑art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable.

As an AI Agent Engineer, you'll be at the forefront of deploying AI agents that address real‑world challenges. In this role, you will work closely with customers as well as our software and machine learning engineers, ensuring high‑impact AI Agent deployments and contributing to the continuous improvement of our core AI platform. You’ll develop intelligent AI agents, integrate them seamlessly with external systems and offer hands‑on technical expertise to ensure successful deployments. This position requires strong engineering skills, adaptability, and customer engagement. If you are self‑driven, analytical, and eager to leverage AI in practical applications, this role is for you.

What You’ll Do

• AI Agent Development: Develop, configure, deploy, and optimize AI agents using the company’s AI platform and tools.
• System Integration: Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration.
• Performance Optimization: Optimize AI agent performance (e.g. fine‑tune prompts and configurations) and troubleshoot issues in complex enterprise environments.
• Requirements Gathering: Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions.
• Demos & Iteration: Conduct interactive demos and present compelling proof‑of‑concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives.
• Project Coordination: Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery. Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real‑world deployment learnings.
• Partner Cross‑Functionally: Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI.
• Technical Guidance: Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning.

What We’re Looking For

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: 3+ years of experience of full time working experience in software development/ consulting, AI/ML engineering, or system integration, or as FDE
• Programming Skills: Proficiency in Python and Golang, with the ability to write clean, efficient code.
• AI/ML Knowledge: Familiarity with AI/ML concepts. Hands‑on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred.
• AI Agent Frameworks: Strong understanding of general AI agent frameworks, function calling, and retrieval‑augmented generation (RAG). Hands‑on experience of building such a system is strongly preferred.
• Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring).
• Integration Expertise: Hands‑on experience with integrating systems via APIs, webhooks, and data pipelines.
• Communication: Excellent communication and project management skills.
• Analytical Approach: Ability to use data‑driven decision‑making, including A/B testing and performance monitoring, to refine solutions.
• Collaborative Builder: You thrive in cross‑functional environments, working hand‑in‑hand with PMs and engineers to turn real customer problems into scalable AI solutions.

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate‑specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.