Role Overview:This role is for a hands-on engineer who will embed directly with enterprise customers to deploy, customize, and scale AI-powered applications. The successful candidate will be proficient in building production-grade backend services using Python and modern user interfaces with React, while integrating advanced Generative AI capabilities into real customer environments. This position requires an individual who is equally comfortable engaging in customer meetings and working within a code editor.
Key Responsibilities:- Deploy, configure, and customize solutions in customer environments end-to-end.
- Build and maintain backend services and APIs in Python for high-performance, low-latency workloads.
- Develop responsive, production-grade UIs using React / TypeScript.
- Integrate LLM APIs (Claude, GPT-4, Gemini) and agentic AI workflows into customer-facing products.
- Translate complex customer requirements into working technical solutions.
- Troubleshoot, optimize, and scale deployments across cloud-native environments.
- Partner with Product and Engineering teams to feed customer insights back into the product roadmap.
- Serve as a trusted technical advisor and mentor to customer engineering teams.
Required Skills:- Strong hands-on experience with Python for backend services and API development.
- Proficiency in React and TypeScript for building modern, responsive user interfaces.
- Demonstrated ability to integrate Generative AI capabilities and work with LLM APIs (e.g., Claude, GPT-4, Gemini).
- Experience with agentic AI workflows.
- Familiarity with cloud-native environments for deployment and scaling.
- Knowledge of GoLang.
- Understanding of DevOps Continuous Integration and Continuous Delivery (CI/CD) practices.
Qualifications:- 6-8 years of relevant experience.
