Raynmaker Inc

Compensation

Full Description

About Raynmaker Raynmaker.ai is the AI-native sales engine purpose-built for small and mid-sized businesses. We empower local and franchise businesses to compete with enterprise-level capabilities—through AI-driven lead targeting, next-best-action automation, and intuitive workflows that help them close more deals, faster. We're a venture-backed, fast-growing team committed to helping SMBs grow with confidence. Role Overview We’re looking for a Junior Software Engineer to support the development of our platform services and AI-driven capabilities. In this role, you will work closely with senior engineers and gain hands-on exposure to real production systems, modern AI frameworks, cloud infrastructure, and microservices architecture. This is a high-growth role with strong mentorship and a clear path toward becoming a full-stack, cloud-native engineer. You’ll contribute directly to building features, resolving production issues, and integrating AI-powered workflows used by real customers. Key Responsibilities Contribute to backend and frontend development using Python and TypeScript. Assist in building platform services, APIs, and microservice components. Support development of UIs, dashboards, and internal tools. Work with senior engineers to integrate AI frameworks (LangChain, LangGraph, LLM APIs). Assist with Docker-based development, CI/CD workflows, and deployment tasks. Participate in L2 production support: triage, debugging, monitoring, and issue resolution. Collaborate within a fast-paced, startup-style environment to ship features iteratively. Help build and integrate external APIs for scheduling, communication, and platform functions. Required Skills 2+ years of hands-on experience with Python and TypeScript Solid programming fundamentals and understanding of software engineering best practices Experience delivering production-grade features or services UI development experience and exposure to microservices Familiarity with AI ecosystems (LangChain, LangGraph, LLM APIs, vector tools) Experience with Docker and containerized environments Exposure to AI tools, APIs, or ML-enabled application features Experience working in a startup or fast-paced engineering environment API integration experience (REST, webhooks, third-party APIs) Experience participating in L2 production support activities Good to Have Basic understanding of Kubernetes Exposure to AWS services (EC2, S3, RDS, IAM, etc.) Familiarity with CI/CD and modern DevOps practices Interest in distributed systems or real-time application design We are committed to fostering a diverse, inclusive, and equitable workplace where all individuals are valued, respected, and empowered, regardless of their background, identity, or beliefs. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.