Senior Software Engineer

🕒 May 5

🌵 Arizona, California, +12 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🏖️ New Jersey – Remote 🌲 North Carolina – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $160k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Ozmo

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

☁️ SaaS

🛍️ eCommerce

👥 B2C

💰 Debt financing on 2020-06

SaaS • eCommerce • B2C

Ozmo is a SaaS link-in-bio and social media management platform that helps creators, influencers, brands, and small businesses consolidate their online presence into a single shareable link and QR code. It provides features to manage and schedule posts, automate Instagram replies and DMs, generate AI-powered captions and hashtags, collect leads and integrate with email marketing tools, and monetize audiences via shops, affiliate links, digital products and paid bookings, all with analytics to measure performance.

📋 Description

• Design, build, own and operate production SaaS features that integrate RAG pipelines, agent systems including multi-agent architectures, and deterministic services. • Use AI coding agents (e.g., Claude Code style tools) as a first class part of your development process, including architecture exploration, implementation, testing, refactoring, and documentation, while maintaining full ownership of output quality and understanding their strengths and limitations. • Implement and evolve agentic systems using frameworks such as LangChain, CrewAI, PydanticAI, or equivalent, including tool orchestration, memory/state handling, and multi-step reasoning workflows. • Build scalable retrieval and inference pipelines: embedding workflows, vector databases, hybrid retrieval strategies, caching, and evaluation loops to balance accuracy, latency, and cost. • Identify where agentic approaches provide leverage over conventional code and where they do not, making pragmatic, production minded tradeoffs across cost, accuracy, latency, and reliability. • Design guardrails and failure-mode mitigations for non-deterministic systems, including prompt structure, validation layers, fallback strategies, and human-in-the-loop patterns where appropriate. • Integrate observability and evaluation into AI-enabled features, monitoring correctness, drift, bias, and performance over time. • Collaborate with architects, product managers, and designers to translate ambiguous requirements into robust technical designs. • Contribute to shared libraries, internal tooling, and reference patterns that accelerate delivery of AI-enabled features across teams. • Participate in code reviews and design discussions, raising the bar for quality, reliability, and responsible use of AI across the engineering organization. • Mentor other engineers on effective agentic coding practices, prompt design, and emerging patterns as adoption scales. • Own AI-enabled features end-to-end in production, from initial design and implementation through deployment, monitoring, on-call support, incident response, and iterative improvement.

🎯 Requirements

• 7+ years of professional software engineering experience, with a strong background building and operating SaaS platforms in production. • Proven experience working at a SaaS company, contributing to multi-tenant, cloud-based systems. • Hands-on experience architecting or contributing meaningfully to SaaS platform architecture, including well-defined service boundaries, API design, domain modeling (DDD), data modeling, and integrations across distributed systems. • Advanced, practical experience using AI coding agents in day to day development, not just experimentation but real production work, with clear ownership of outcomes. • Strong hands-on experience with agentic systems and AI workflows, including: RAG architectures and retrieval pipelines, LLM integrations, prompt engineering, and context engineering, agent orchestration and tool-chaining, evaluation and observability for AI outputs. • Familiarity with agentic frameworks such as LangChain, CrewAI, PydanticAI, or similar, and the judgment to know when to extend, replace, or simplify them. • Deep understanding of software engineering fundamentals, including SOLID principles, clean architectural layering, common design patterns, testing strategy, and performance optimization. • Experience building and operating production systems with strong engineering discipline, including testable system design, observability, progressive delivery, and reliability patterns that reduce blast radius and enable safe iteration. • Comfort operating in cloud-native environments (AWS, Azure, or GCP), including microservices, event-driven architectures, CI/CD, and production monitoring. • Experience designing secure, multi-tenant SaaS systems, including access control patterns, data isolation, and defensive design practices appropriate for AI-enabled applications. • Strong communication skills, able to explain complex technical and AI-driven behavior clearly to engineers, product partners, and stakeholders, and to mentor other engineers through code reviews, design discussions, and thoughtful technical guidance. • A mindset of continuous learning, experimentation, and responsible innovation, especially as agentic capabilities evolve rapidly. • While a Bachelor’s degree is preferred, we place greater value on demonstrated experience and impact.

🏖️ Benefits

• Medical, vision, dental and life insurance along with short- and long-term disability • Plenty of paid time off (PTO) that grows the longer you’re with Ozmo, as well as paid holidays • 401k to save for retirement with employer matching • Paid maternity and bonding leave for new parents • Paid pawternity leave when you bring a new pet into your life • One-month sabbatical after you have been with Ozmo for five years • Flexible, remote work arrangements to support your best work