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Presales Applied Engineering Specialist
2 months ago
As a Technical Solutions Engineer at Deepgram, you will play a pivotal role in developing AI-driven automation tools tailored to enhance our client interactions and support processes.
Key Responsibilities
- Leverage cutting-edge AI technologies, including large language models (LLMs), to optimize the customer support workflow.
- Engage directly with clients to validate and refine your automation solutions, ensuring they meet real-world needs.
- Deliver exceptional service to high-value clients by utilizing AI automation to streamline their onboarding journey.
- Act as the primary technical liaison for potential clients throughout the sales cycle.
- Utilize your engineering expertise to enhance existing products and create new integrations with various platforms.
- Develop practical examples using our API for client reference and provide continuous feedback to product and engineering teams based on customer experiences.
- Adapt best practices to align with technical product adoption and customer success metrics through comprehensive documentation.
Ideal Candidate Profile
- Adept at problem-solving and passionate about building projects utilizing APIs, particularly with AI technologies.
- A generalist who enjoys exploring new technologies and can construct end-to-end systems for automating support processes.
- Committed to the transformative potential of AI and eager to implement LLMs in innovative applications.
- Embraces a proactive mindset, embodying our core value of 'think smart, act first.'
- Recognizes the potential of AI automation to revolutionize customer support.
Essential Qualifications
- Strong technical background with a quick learning aptitude for new technologies.
- Proficient in scripting languages (Python, JavaScript, etc.) with the ability to read and write code across multiple languages.
- Experience in delivering software demonstrations to diverse audiences, including executives and technical teams.
Preferred Qualifications
- A desire to set new standards of excellence and contribute to significant projects while gaining knowledge.
- Familiarity with systems programming languages such as Rust, C/C++, or Java.
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Basic understanding of modern machine learning frameworks, including PyTorch and HuggingFace models.
About Deepgram
Deepgram is at the forefront of building foundational AI technologies for speech transcription and understanding.
