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Jobs/Advisor Role/Cresta - Forward Deployed Engineer (AI Agent) - Germany
Cresta

Cresta - Forward Deployed Engineer (AI Agent) - Germany

Remote - Germany (Remote)+ Equity2mo ago
RemoteMidEMEACloud ComputingArtificial IntelligenceAdvisorMobile EngineerSenior DevOps EngineerPythonProject CoordinationProspectingProject PlanningAWS

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Requirements

• Demos & Iteration: Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives. • Demos & Iteration: • 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. • Project Coordination: • Partner Cross-Functionally: Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI. • Partner Cross-Functionally: • 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. • Technical Guidance: • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • Education: • Experience: 3+ years of experience in software development, AI/ML engineering, or system integration. • 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/ML Knowledge: • 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. • AI Agent Frameworks: • Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring). • Cloud & DevOps: • Integration Expertise: Hands-on experience with integrating systems via APIs, webhooks, and data pipelines. • Integration Expertise: • Communication: Excellent communication and project management skills. • Communication: • Analytical Approach: Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions. • Analytical Approach: • 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. • Collaborative Builder: • 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. • This posting will be used to fill a newly-created role. • 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.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to [email protected]

Responsibilities

• AI Agent Development: Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools. • AI Agent Development: • System Integration: Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration. • System Integration: • Performance Optimization: Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments. • Performance Optimization: • Requirements Gathering: Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions.

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