RemoteMust reside in AZ, CA, CO, DC, FL, GA, IL, NC, NJ, SC, TN, TX, VA, WA, or WI.
Software EngineeringAI Application Engineering
No H1B Sponsorship
About the job
Requirements
At least 7 years of software engineering experience, including substantial experience building and operating production SaaS.
At least 2 years of hands-on production LLM or agent experience, with systems shipped to real users.
A proven track record of taking AI products from prototype through pilot and into production, ideally in customer-facing environments.
Practical experience using AI coding agents such as Claude Code, Codex, Cursor, Gemini CLI, or similar tools in day-to-day development.
Hands-on experience building agentic systems, including tool use, orchestration, planning, multi-agent workflows, and human-in-the-loop systems.
Strong understanding of AI infrastructure, particularly MCP, agent gateways, skills, memory, evaluation, observability, and interoperability.
Strong knowledge of RAG and knowledge systems, including hybrid retrieval, vector and graph databases, metadata, taxonomy and ontology, and retrieval evaluation.
Strong enterprise engineering fundamentals, including multi-tenancy, security, authorization, auditability, reliability, and distributed systems.
Production cloud-native experience, including Kubernetes, CI/CD, infrastructure-as-code, Docker, and AWS, Azure, or GCP.
Expert-level Python proficiency and strong software architecture skills, including API design, data modeling, testing, performance, and distributed systems.
Responsibilities
Build and ship production-grade agentic AI products that solve real, mission-critical enterprise problems.
Own the full product lifecycle from discovery and prototyping through customer pilots, general availability, and ongoing iteration.
Design agentic architectures using LangGraph, LangChain, CrewAI, PydanticAI, or equivalent, including planning, decomposition, tool use, multi-step workflows, memory, state management, self-correction, and human-in-the-loop patterns.
Build the agent infrastructure layer, including MCP servers and tools, skills, agent gateways, and agent-to-agent communication.
Build the knowledge and retrieval layer, including RAG, hybrid graph and vector retrieval, taxonomy, ontology, metadata, provenance, and content lifecycle management.
Design for enterprise-grade security and trust, including authorization, tenant isolation, auditability, guardrails, prompt-injection protection, and controlled tool access.
Build rigorous evaluation and observability systems to measure task success, quality, latency, cost, drift, and reliability; use them to catch regressions before release and monitor production performance.
Make architectural tradeoffs about when to use agents versus deterministic software, balancing accuracy, reliability, latency, complexity, and cost.
Own production systems end to end, including deployment, monitoring, incident response, performance, reliability, and cost.
Create reusable patterns and tooling, mentor other engineers, and help establish how Ozmo builds with AI.
Desired Qualifications
Experience taking AI products from prototype through pilot and into production in customer-facing environments.
Ozmo is transforming how enterprises use AI to automate complex support at scale. We’re growing a team of engineers who enjoy hard problems, ship production systems, and know how to apply AI inside enterprise SaaS.
We’re looking for a Senior Applied AI Engineer to help build our next generation of products: agentic systems that solve important, real-world problems for enterprise customers.
You’ll build the agentic core and the infrastructure required to run it safely in an enterprise environment. That includes MCP servers and skills, memory and knowledge systems, identity, guardrails, and observability. You’ll make practical tradeoffs around model behavior, latency, reliability, and cost. You should also know when an agent isn’t the right solution.
You’ll use AI coding agents throughout the development process while retaining full ownership of the quality of what ships.
If you want to build agentic systems that work in production and help shape how Ozmo builds them, we’d like to talk.
What you will do:
Build and ship production-grade agentic AI products that solve real, mission-critical enterprise problems.
Own the full product lifecycle from discovery and prototyping through customer pilots, GA, and ongoing iteration.
Design agentic architectures with LangGraph, LangChain, CrewAI, PydanticAI, or equivalent: planning, decomposition, tool use, multi-step workflows, memory, state management, self-correction, and human-in-the-loop patterns.
Build the agent infrastructure layer including MCP servers/tools, skills, agent gateways, and agent-to-agent communication.
Build the knowledge and retrieval layer including RAG, hybrid graph/vector retrieval, taxonomy, ontology, metadata, provenance, and content lifecycle management.
Design for enterprise-grade security and trust, including authorization, tenant isolation, auditability, guardrails, prompt-injection protection, and controlled tool access.
Build rigorous evaluation and observability systems that measure task success, quality, latency, cost, drift, and reliability. Use them to catch regressions before release and monitor performance in production.
Make sound architectural tradeoffs about when to use agents versus deterministic software, balancing accuracy, reliability, latency, complexity, and cost.
Own systems in production end-to-end, including deployment, monitoring, incident response, performance, reliability, and cost.
Create reusable patterns and tooling, mentor other engineers, and help establish how Ozmo builds with AI.
What you will bring to the role:
7+ years of software engineering experience, with substantial experience building and operating production SaaS.
2+ years of hands-on production LLM/agent experience, with demonstrated systems shipped to real users.
Proven track record of taking AI products from prototype through pilot and into production, ideally in customer-facing environments.
Practical experience using AI coding agents such as Claude Code, Codex, Cursor, Gemini CLI, or similar tools as part of your day-to-day development.
Deep hands-on experience building agentic systems, including tool use, orchestration, planning, multi-agent workflows, and human-in-the-loop systems.
Strong understanding of AI infrastructure, particularly MCP, agent gateways, skills, memory, evaluation, observability, and interoperability.
Strong knowledge of RAG and knowledge systems, including hybrid retrieval, vector + graph databases, metadata, taxonomy/ontology, and retrieval evaluation.
Strong enterprise engineering fundamentals, including multi-tenancy, security, authorization, auditability, reliability, and distributed systems.
Production cloud-native experience, including Kubernetes, CI/CD, infrastructure-as-code, Docker, and AWS/Azure/GCP.
Expert-level Python and strong software architecture skills, including API design, data modeling, testing, performance, and distributed systems.
Exceptional technical judgment and communication, with the ability to explain non-deterministic AI behavior, make pragmatic tradeoffs, mentor engineers, and take ownership of outcomes.
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: $ $180,000+ based on several 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.