Related skills
aws sql python gcp microservices📋 Description
- Lead end-to-end deployment of GenAI apps for customers.
- Architect scalable GenAI solutions with Python, Langchain/LangGraph, and LLMs.
- Act as a trusted technical advisor, crafting tailored AI solutions.
- Collaborate with product, ML, and engineering teams to influence roadmap.
- Write clean, maintainable code and reusable deployment modules.
- Operate across AWS, Azure, GCP for secure, performant infra.
🎯 Requirements
- 5–8+ years in software or solutions engineering, customer-facing.
- Proven expertise in Python, Langchain, LangGraph, and SQL.
- Deep experience with APIs, microservices, and event-driven architectures.
- Proven success designing and deploying GenAI apps into production.
- Strong proficiency with AWS, GCP, and/or Azure.
- Excellent communication to translate technical complexity for customers.
- Autonomous work style with ability to manage multiple deployment tracks.
- Bachelor's, Master’s, or PhD in Computer Science, Engineering, or related field.
🎁 Benefits
- Amazing work culture with collaborative, supportive environment.
- Awesome colleagues from top tech and startup backgrounds.
- Competitive compensation.
- Flexible working hours.
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