Procurement Sciences is looking to solve complex challenges in the government contracting industry by developing and enhancing their AI-driven SaaS platform, Awarded AI, to simplify processes, drive revenue growth, and deliver cost savings.
Requirements
- Expertise in rapid prototyping and development using React and Next.js.
- Proficiency in React/Next.js and/or NestJS with a strong portfolio of projects.
- Experience with TypeScript and Python for backend development.
- Experience in developing mobile-compatible web applications, ensuring responsive design and functionality across devices.
- Proven expertise with tools like LangChain, LangGraph, agentic AI frameworks, and vector databases.
- Familiarity with OpenAI, Claude, Google Vertex, and/or AzureAI APIs and vector databases, demonstrating an ability to integrate cutting-edge AI technologies into web solutions.
- Proven experience scaling complex SaaS applications, both in terms of scaling to larger development teams and to large customer-bases and usage.
Responsibilities
- Lead full-cycle software development efforts, from ideation through deployment, ensuring our solutions exceed industry standards.
- Engage closely with product and design teams to translate user requirements into robust technical implementations.
- Enhance system performance, reliability, and security, leveraging your expertise to drive excellence.
- Drive continuous innovation, integrating new features and optimizing existing functionalities for maximum efficiency.
- Quickly identify and resolve technical issues to maintain seamless system operations.
- Mastering and enhancing our system.
- Embedding cutting-edge AI technologies at its core to deliver disruptive solutions to our users.
Other
- Proven experience in SaaS environments at growth-stage companies.
- A problem solver and hard worker who thrives in the SaaS environment and understands the startup grind.
- A pragmatic and proactive engineer capable of rapidly bringing projects over the finish line.
- Passionate about innovation and AI, with a love for the "fail fast and pivot/iterate" methodology.
- Driven to get solutions live quickly and leverage customer feedback to guide value creation.
