Applications System Engineer - Cloud (Infrastructure AI Engineer)

We are seeking an Applications System Engineer - Cloud / Infrastructure AI Engineer to develop and implement Agentic AI solutions that improve Cloud, DevOps, and Infrastructure operations., * Design, develop, test, and support AI Agents and Agentic AI workflows for DevOps and infrastructure operations.

• Use frameworks such as LangGraph, LangChain, CrewAI, AutoGen, and Model Context Protocol (MCP).
• Develop AI-powered solutions that automate infrastructure provisioning, deployment, monitoring, troubleshooting, maintenance, and remediation.
• Develop software services, APIs, microservices, and workflows using Python and TypeScript/Nest.js.
• Integrate AI solutions with cloud platforms, DevOps toolchains, monitoring systems, CMDBs, ticketing systems, APIs, and enterprise data sources.
• Apply LLMs, prompt engineering, RAG, context engineering, Agentic RAG, and AI evaluation techniques to improve AI workflow accuracy and reliability.
• Support AWS/Azure, Kubernetes, Docker, CI/CD, Infrastructure as Code, and GitOps environments.
• Develop and maintain infrastructure automation using technologies such as Terraform, Bicep, Helm, and ArgoCD.
• Develop monitoring and observability solutions to improve system availability, performance, and reliability.
• Troubleshoot cloud/platform issues, outages, and operational problems and develop proactive AI-driven remediation recommendations.
• Perform UAT, ORT, test planning, test case development, test execution, and production verification.
• Develop technical documentation, operational guidelines, and support procedures.
• Participate in Post-Outage Reviews (POR), Service Incident Reporting (SIR), and Root Cause Analysis (RCA).
• Collaborate with developers, architects, QA teams, team leads, vendors, product teams, and customers.

This is a hands-on engineering role combining Agentic AI, Generative AI, software development, cloud infrastructure, automation, observability, and DevOps. The ideal candidate will have experience building AI agents and integrating them with enterprise systems and infrastructure workflows., * Strong hands-on experience with Agentic AI frameworks, including one or more of:

• LangGraph
• LangChain
• CrewAI
• AutoGen
• MCP
• Strong Python development experience.
• Experience with TypeScript and Nest.js preferred.
• Strong understanding of Generative AI, LLMs, prompt engineering, RAG, and context engineering.
• Experience developing and integrating AI Agents, tools, workflows, and enterprise APIs.
• Experience with REST APIs, microservices, automation, and software development.
• Strong understanding of Cloud and Infrastructure Engineering.
• Experience with AWS and/or Azure.
• Experience with Kubernetes and Docker.
• Strong understanding of CI/CD and DevOps practices.
• Hands-on Infrastructure as Code/GitOps experience with technologies such as:
• Terraform
• Bicep
• Helm
• ArgoCD
• Experience with monitoring, observability, troubleshooting, system reliability, and incident management.
• Strong analytical and problem-solving skills.

Preferred / Plus Skills

• Agentic RAG and vector databases such as Pinecone, Weaviate, Supabase, or Vectorize.
• AI evaluation (Evals) and AI observability.
• Experience with Java and/or Go.
• JavaScript frameworks.
• Data analytics, modeling, or data science experience.
• Experience with Claude Code, Cursor, or Lovable.
• Working experience with Figma, Windsurf, Replit, or Visual Studio Code.
• AI-related certifications.
• AWS or Azure certifications.

Experience

• Typically 3-5+ years of relevant software, cloud, infrastructure, or AI engineering experience.
• Candidates with approximately 1+ year of strong hands-on Agentic AI framework experience may also be considered, depending on the depth of their experience.

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field preferred.

Soft Skills

• Strong analytical and problem-solving abilities.
• Ability to troubleshoot complex technical and AI-related challenges.
• Adaptability and willingness to work in a rapidly evolving AI environment.
• Strong technical communication skills.
• Ability to work collaboratively and independently.
• Understanding of secure, responsible, and ethical AI implementation.

Important Requirement

This is an on-site position requiring candidates to work 5 days per week in either Bothell, WA or Plano, TX. Candidates should be comfortable with the required on-site work arrangement.