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Lead Forward Deployed Engineer

12 hours, 57 minutes ago
United States, Canada
Full-time
Lead
AI Engineer
Software Development
CI/CD Kubernetes LLM Microservices
Apply Now
Liatrio

Liatrio

Liatrio specializes in IT modernization consultancy, helping large enterprises enhance their software delivery processes and adapt to changing technology landscapes through a comprehensive approach that integrates both technological and cultural transf...

Internet Software & Services
51-200
View All Jobs 5

Description

  • Own technical delivery, architecture, and code quality for an embedded client workstream.
  • Lead a small engineering team and make key technical decisions, documenting tradeoffs and maintainable system designs.
  • Write and review production full-stack code, set technical standards, and review pull requests.
  • Design and implement AI and LLM capabilities, including agentic workflows, RAG pipelines, intelligent automation, and developer tooling.
  • Use AI-assisted development tools to accelerate refactoring, code generation, and test writing.
  • Coach and pair with client engineers to adopt AI-first development practices and coding assistants.
  • Modernize monolithic legacy applications into cloud-native microservices and event-driven architectures without disrupting critical systems.
  • Identify and mitigate technical debt, delivery friction, and architectural risk through test automation and CI/CD practices.
  • Serve as the primary technical contact for client engineering leaders on execution, delivery risk, and technical strategy.
  • Support technical scoping, SOW development, POC demonstrations, and account expansion opportunities.

Requirements

  • 8+ years of hands-on software engineering experience, including technical leadership of engineering teams or workstreams.
  • Experience owning technical execution and architectural direction in complex enterprise environments.
  • Experience modernizing large legacy applications through incremental refactoring and event-driven decomposition.
  • Full-stack delivery expertise across frontend, backend, APIs, data pipelines, and cloud infrastructure.
  • Experience designing enterprise-scale cloud-native distributed systems, including microservices, event-driven architectures, API gateways, and asynchronous messaging.
  • Practical knowledge of platform engineering, infrastructure as code, Kubernetes or managed container services, and CI/CD automation.
  • Experience building or integrating production AI capabilities, including model integration, retrieval pipelines, observability, and maintenance.
  • Experience using AI coding tools and agentic assistants to improve software delivery.
  • Ability to advise client technical leadership on pragmatic production AI adoption.
  • Authorization to work in the United States or Canada without sponsorship.
  • Availability to travel up to 25% based on client needs.

Interested in this position?

Apply directly on the company website

Apply Now

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