about 2 hours ago
Base Salary
$180k - $220k/yr
Responsibilities
- Lead the end-to-end deployment of GenAI applications for customers.
- Architect and implement robust, scalable solutions using Python, Langchain/LangGraph, and LLM frameworks.
- Act as a trusted technical advisor to customers, understanding their needs and crafting tailored AI solutions.
- Collaborate closely with product, ML, and engineering teams to influence roadmap and core platform capabilities.
- Write clean, maintainable code and build reusable modules to streamline future deployments.
- Operate across cloud platforms (AWS, Azure, GCP) to ensure secure, performant infrastructure.
- Continuously improve deployment tools, pipelines, and methodologies to reduce time-to-value.
Requirements
- 5–8+ years of experience in software engineering or solutions engineering, ideally in a customer-facing capacity.
- Proven expertise in Python, Langchain, LangGraph, and SQL.
- Deep experience with engineering architecture, including APIs, microservices, and event-driven systems.
- Demonstrated success in designing and deploying GenAI applications into production environments.
- Strong proficiency with cloud services such as AWS, GCP, and/or Azure.
- Excellent communication skills, with the ability to translate technical complexity to customer-facing narratives.
- Comfortable working autonomously and managing multiple deployment tracks in parallel.
Benefits
- Amazing work culture with a super collaborative and supportive work environment.
- Surround yourself with top talent from Meta, Google, LinkedIn, and others.
- Competitive compensation.
- Flexible working hours.