Description:
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.
We are looking for a Forward Deployed Engineer (FDE) who is passionate about building and deploying AI agent solutions to solve real-world business problems. 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 support 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.
Responsibilities
- AI Agent Development: Develop, configure, and deploy AI agents using Cresta’s AI platform and tools.
- System Integration: Integrate AI agents with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration.
- Performance Optimization: Optimize 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 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.
- 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.
Qualifications We Value
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience: 3+ years of experience in software development, AI/ML engineering, or system integration.
- Programming: 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 Concepts: 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).
- System Integration: Hands-on experience with integrating systems via APIs, webhooks, and data pipelines.
- Analytical Skills: Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions.
- Communication: Excellent communication and project management skills.
- Customer Focus: A customer-centric approach paired with a proactive and solution-oriented mindset.