C
Cresta
Senior Full Stack Engineer (Conversation Intelligence)
Skills
ReactTypescriptPythonGolangMicroservicesPostgreSQLMachine LearningAIElasticsearchNo-code Applications
2 months ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
5 September 2026
What they need
- The QM & Coaching Team at Cresta is vital for our post-call intelligence products
- Our core mission is to utilize Large Language Models (LLMs) and advanced AI techniques to transform conversations into actionable intelligence, streamlining the process of agent performance review and coaching
- We build systems that deeply analyze agent behaviors, delivering structured insights into their performance and pinpointing critical areas for improvement
- Through AI-powered exploration and interactive workflows, our work empowers organizations to leverage data-driven decisions and enhance the overall customer experience
- As a Senior Fullstack Engineer, you’ll play a key role in building and scaling the no-code platform that powers Cresta’s processing capabilities
- This platform empowers non-technical users to configure conversation workflows, apply automation without writing code
- You will work across the stack—from building intuitive UIs to robust backend services—enabling customers to unlock value from conversations quickly and flexibly
- You’ll partner with designers, product managers and AI/ML teams to turn complex requirements into delightful and performant product experiences
- You’ll also help shape the future of our no-code architecture, ensuring it scales with our product and customer base
- Design, develop, and maintain end-to-end features for Cresta’s no-code processing platform
- Build intuitive UI components and visual editors for configuring conversation logic and workflows
- Architect and implement backend services and APIs to power a dynamic no-code interface
- Work closely with ML engineers to expose conversation intelligence in an accessible and configurable way
- Develop data models and storage layers using Postgres, ClickHouse, and Elasticsearch
- Identify areas for performance improvements and scalability in both frontend and backend systems
- Ensure reliability, security, and maintainability across the full technology stack
- Participate in design discussions, code reviews, and continuous integration processes
Benefits
- Weekly lunch & learn
- Work with an A+ team of ex-Founders, world leading scientists, and nationally competitive athletes
- Mentorship - A world class mentorship board advises and mentors our team-members to capture the opportunity ahead of us- Backend expertise in Python, Go, or similar languages; experience with RESTful APIs and microservices architecture
- Experience building platforms or tools for non-technical users, especially in AI/ML, automation, or workflow spaces
- Strong foundation in database systems and data modeling; hands-on experience with Postgres, ClickHouse, or Elasticsearch is a plus
- Proven experience as a Fullstack Engineer, with strong frontend and backend contributions to no-code or low-code platforms
- Strong collaboration and communication skills—able to work effectively across product, design, and engineering teams
- Deep understanding of modern frontend technologies (React, TypeScript, etc.) and design patterns for building complex UIs
- Passion for building systems that simplify complex problems and empower users
- Familiarity with managing state, execution logic, or visual programming paradigms is a bonus
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