Ozmo

Ozmo is a technology company that builds software products to solve device and application support at scale.

Senior Software Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 51-200Since 2016Company SiteLinkedIn

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

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