What you will do: - 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. What you will bring to the role: - 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 building and operating production systems with strong engineering discipline, including testable system design, observability, progressive delivery practices, and reliability patterns that reduce blast radius and support safe iteration. - 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. Perks of being an Ozmonaut: - 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 Pay Range: $160,000+ based on a number of factors and commensurate with qualifications and experience. While this is a fully remote position, please note that due to business and tax regulations, we are only able to hire candidates who reside in the following states: AZ, CA, CO, DC, FL, GA, IL, NC, NJ, SC, TN, TX, VA, WA, WI. Unfortunately, candidates who do not live in one of the listed states will not be considered. If you live in one of the listed states and are passionate about the role, we’d love to hear from you! This is a fantastic opportunity to join a dynamic team while working remotely. Applicants must be legally authorized to work in the U.S. Ozmo does not sponsor employment visas. Ozmo participates in the E-verify program. Ozmo does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, sexual orientation, gender identity, gender expression, pregnancy, marital status, national origin, age, disability, or any other characteristic protected by law.