8+ years of software engineering experience, with a strong foundation in building and shipping production-quality systems
Ability to apply AI and ML techniques, including LLM-based approaches such as RAG, guardrails, and evals, to real customer problems
Scalable system design experience, ensuring solutions scale reliably as usage, data, and complexity grow
Experience with backend engineering, distributed systems, APIs, data pipelines, cloud infrastructure, or applied AI/ML systems
Comfort working across the full stack when needed, including backend services, frontend interfaces, infrastructure, integrations, and deployment workflows
Ability to operate in ambiguous customer environments and turn unclear requirements into working software
Strong technical communication skills with engineers, product teams, executives, and customer stakeholders
High ownership, bias for action, and ability to drive outcomes without waiting for perfect requirements
Strong debugging instincts and ability to reason across application code, data, infrastructure, networking, and customer systems
Prior experience as a full-stack or backend software engineer, forward deployed engineer, solutions engineer, product engineer, platform engineer,, or founding/startup engineer
Experience with AI agents, LLM applications, workflow orchestration, evals, guardrails, retrieval systems, or model deployment
Experience with cloud platforms such as AWS, Azure, or GCP
Experience with Kubernetes, Terraform, Docker, CI/CD, observability, and secure deployment practices
Familiarity with identity and access management, audit logging, data governance, and secure software delivery
Experience building in environments with compliance, security, or operational constraints
Comfort working in secure or regulated customer environments
If you want to be on the cutting edge of technology, building AI solutions for the future, and are up for a challenge, let’s talk!
Some travel to customers may be required