Senior Forward Deployed Engineer (AI Agent) - Germany

Senior Forward Deployed Engineer (AI Agent) - Germany

Location: Berlin, Germany (Hybrid)

About Cresta

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta'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 Cresta to power world-class customer experiences every day.

Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world's leading investors, including a16z, Greylock, and Sequoia. Cresta'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 Cresta to build the future of AI-driven customer experiences.

About the Role

At Cresta, 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.

Responsibilities

• Develop, configure, deploy, and optimize AI agents using Cresta's AI platform and tools.

• Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration.

• Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments.

• Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions.

• Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives.

• 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.

• Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI.

• 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.

Requirements

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Experience: 3+ years of full-time working experience in software development/consulting, AI/ML engineering, system integration, or as an 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 building such systems 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

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.

Additional Information

This posting will be used to fill a newly-created role.

Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject 'Opt-Out' in your email).

Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed.

Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.