Software Engineer - AI Platform (SaaS)

TL;DR

Software Engineer - AI Platform (SaaS): Building AI capabilities that will transform how enterprises manage sales performance with an accent on React/TypeScript frontends to Python backends, while integrating LLM orchestration and MCP (Model Context Protocol) systems. Focus on tackling ambiguous problems, contributing to architectural decisions, and helping establish the patterns that future teams will follow.

Location: Remote

Company

hirify.global is the leading Sales Performance Management platform, helping enterprises design, manage, and optimize their incentive compensation programs.

What you will do

• Design and implement AI-powered features end-to-end, from React frontends through Python services to LLM integrations
• Build and maintain components of our Agentic SDK, enabling other engineering teams to leverage AI capabilities
• Develop LLM orchestration workflows, including prompt engineering, tool calling, and agent design patterns
• Implement MCP integrations and knowledge systems, connecting LLMs to tools, databases, and external services
• Partner with product teams to translate requirements into technical solutions, delivering quarterly milestones on time with high quality

Requirements

• 3+ years of professional software engineering experience with demonstrated growth in scope and complexity
• Strong proficiency in Python with experience building production backend services (Django experience preferred)
• Solid frontend development skills with React and TypeScript
• Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) and understanding of prompt engineering fundamentals
• Experience building LLM-powered workflows, including agent orchestration, tool calling, or multi-step reasoning systems
• Experience working with ambiguous requirements and independently identifying solutions
• Strong communication skills and ability to collaborate effectively in a remote environment

Nice to have

• Experience with MCP servers, vector databases (Pinecone, Weaviate, Chroma), or embedding models
• Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent)
• Experience building internal developer platforms, SDKs, or shared infrastructure
• Contributions to AI/ML open-source projects
• Experience at a B2B SaaS company, particularly in enterprise software

Culture & Benefits

• Participate in team culture and hiring, including conducting interviews for engineering candidates
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.