Forward Deployed Engineer (AI Agent) EMEA

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices automate conversations and inefficient processes and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab Crestas co-founder and chairman is Sebastian Thrun the genius behind Google X Waymo Udacity and more. Our leadership also includes CEO Ping Wu the co-founder of Google Contact Center AI and Vertex AI platform and co-founder Tim Shi an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here and its at Cresta.

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 youll be at the forefront of deploying AI agents that address real-world 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. Youll 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 Youll Do :

• AI Agent Development: Develop configure deploy and optimize AI agents using Crestas 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 Were Looking For:

• Education: Bachelors or Masters degree in Computer Science Engineering or a related field.
• 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 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.

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 @ 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

Required Experience:

Unclear Seniority