Senior Applied AI Engineer

Ozmo; United States; Remote; USD 162,000 - 198,000; Full time

Benefits offered by this job

Medical, vision, dental and life

Paid PTO and holidays

401k matching

Job summary

Ozmo is transforming how enterprises use AI to automate complex support at scale. We’re building a team of engineers who tackle hard problems, ship production systems, and apply AI in enterprise SaaS.

We’re seeking a Senior Applied AI Engineer to create agentic core systems and the infrastructure to run them safely in an enterprise environment. This fully remote role targets US states listed for hiring and requires strong Python and cloud-native skills.

Qualifications

• 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.

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, 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.

Skills

Software engineering

LLM / agent experience

Production SaaS

Python

Cloud / Kubernetes

API design

Tools

Kubernetes

CI/CD

Docker

AWS/Azure/GCP

Job description

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.