Ozmo
Ozmo is a technology company that builds software products to solve device and application support at scale.
Senior Software Engineer
Location
Arizona + 13 moreAll locations: Arizona, California, Colorado, District of Columbia, Florida, Illinois, New Jersey, North Carolina, South Carolina, Tennessee, Texas, Virginia, Washington, Wisconsin
Posted
10 days ago
Salary
$160K / year
Bachelor Degree7 yrs expEnglishAWSAzureCloudDistributed SystemsGoogle Cloud PlatformMicroservices
Job 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.
Job 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