Senior AI Engineer

POSITION Senior AI Engineer LOCATION remote DURATION 6+months INTERVIEW TYPE Video

REQUIRED SKILLS

Experience:

10+ years Professional software engineering experience across application design, implementation, delivery, and support. REQUIRED
10+ years Experience reviewing and validating code and technical artifacts against complex business rules and operational requirements. REQUIRED
7+ years Experience with modern application development using C#/.NET and related backend technologies. REQUIRED
5+ years Experience with React or similar modern frontend frameworks for workflow-driven or administrative applications. REQUIRED
5+ years Experience with infrastructure as code, including Terraform module design, state management, and drift control. REQUIRED
5+ years Experience designing and maintaining CI/CD pipelines in platforms such as Azure DevOps, GitHub Actions, or similar. REQUIRED
5+ years Experience with observability practices including structured logging, metrics, tracing, dashboards, alerts, and SLOs. REQUIRED
5+ years Experience working with relational and NoSQL data technologies, including SQL Server or PostgreSQL and modern NoSQL patterns for scalable application design. REQUIRED
3+ years Experience with containerized deployment models, including Docker, Kubernetes, and Helm. REQUIRED
3+ years Experience with event-driven architectures, message buses, and saga or state machine patterns. PREFERRED
3+ years Experience using Redis for more than basic caching, including atomic operations, distributed locking, counters, or coordination patterns. PREFERRED
3+ years Experience with legacy modernization or translating legacy business behavior into modern implementations.

PREFERRED

Knowledge, Skills, Abilities
Strong ability to direct AI agents using precise specifications, bounded tasks, technical constraints, and validation criteria.
Strong ability to evaluate generated code and technical artifacts for correctness, completeness, maintainability, and fitness for production use.
Excellent understanding of software architecture, modular design, dependency control, integration patterns, and distributed systems fundamentals.
Strong understanding of CI/CD, infrastructure as code, release safety, rollback strategies, and production readiness practices.
Strong knowledge of observability, including structured logging, OpenTelemetry concepts, distributed tracing, dashboards, alerts, and SLOs.
Strong understanding of relational and NoSQL data modeling patterns, including when each is appropriate in modern application architectures.
Practical knowledge of Redis beyond simple caching, including atomic operations, distributed locking, counter-style use cases, and coordination patterns.
Ability to detect problematic patterns in AI-generated output, including architectural drift, hidden coupling, weak failure handling, and unnecessary complexity.
Strong understanding of automated testing and verification approaches across unit, API, integration, component, end-to-end, infrastructure, and runtime validation layers.
Ability to reason effectively about translated or reverse-engineered legacy business rules, even when the original implementation language is unfamiliar.
Strong analytical, problem-solving, and risk-based decision-making skills.
Ability to identify ambiguity in requirements and contribute corrections back into documentation and specifications.
Ability to collaborate effectively with architecture, QE, SRE, product, and business stakeholders.
Strong written and verbal communication skills, including the ability to turn ambiguous goals into precise technical direction.
Ability to manage priorities, handle complexity, and maintain sound engineering judgment in a high-throughput AI-assisted environment.
Ability to learn new tools, technologies, and agent-driven workflows quickly.

Licenses/Certifications
AWS Certified Solutions Architect Professional PREFERRED
AWS Certified DevOps Engineer Professional PREFERRED
HashiCorp Terraform Associate PREFERRED
Microsoft Certified: Azure Developer Associate PREFERRED
Microsoft Certified: Azure DevOps Engineer Expert PREFERRED
Certified Kubernetes Application Developer (CKAD) PREFERRED