AI Native Software Engineer
Title: AI Native Software Engineer (Senior / Lead IC Only)
Location: 5205 North O'Connor Blvd, West Tower, Irving, TX 75039
Client is covering the travel costs, but the role is 50-75percent travel - Some weeks are Monday - Wednesday and others Monday - Thursday but it will be weekly.
LInkedin's needed
KEYNOTE: Need the product in there. Either the name of the applications or systems they put into prodcutions or an idea of what it does.
Job Description:
Use this as a hard go. If a candidate fails any red item, do not submit.
A. Seniority & Role Fit (NON NEGOTIABLE)
810+ years total software engineering experience
Senior / Technical Lead Individual Contributor (not manager)
B. Enterprise Environment Experience
Has worked in large enterprise environments
Reject if experience is limited to:
Startups only
Small companies
C. Production AI (THIS IS THE #1 FILTER)
Must be able to explain this clearly
Ask:
"Tell me about an AI system you personally built and supported in production.
Candidate must demonstrate:
Production deployed AI (not POCs)
Hands on with: Agents and/or RAG , Orchestration workflows
Experience with: Monitoring & logging, Performance, latency, reliability, Debugging production issues
Reject if: Only chatbots and "AI listed in resume with no operational depth
D. Hands On Engineering Depth
Personally writes, deploys, and debugs code
Can walk through:
How the system was built
Design tradeoffs
Production challenges
Reject if candidate only:
Designed or reviewed
Managed delivery
Delegated build work
E. Cloud Native & Tooling (Must Be Explicit)
Resume must clearly show:
APIs / microservices
Containers (Docker / Kubernetes) or serverless
CI/CD pipelines
Infrastructure as Code
Monitoring / observability tools
Required Skills & Experience
Location: 5205 North O'Connor Blvd, West Tower, Irving, TX 75039
Client is covering the travel costs, but the role is 50-75percent travel - Some weeks are Monday - Wednesday and others Monday - Thursday but it will be weekly.
LInkedin's needed
KEYNOTE: Need the product in there. Either the name of the applications or systems they put into prodcutions or an idea of what it does.
Job Description:
Use this as a hard go. If a candidate fails any red item, do not submit.
A. Seniority & Role Fit (NON NEGOTIABLE)
810+ years total software engineering experience
Senior / Technical Lead Individual Contributor (not manager)
B. Enterprise Environment Experience
Has worked in large enterprise environments
Reject if experience is limited to:
Startups only
Small companies
C. Production AI (THIS IS THE #1 FILTER)
Must be able to explain this clearly
Ask:
"Tell me about an AI system you personally built and supported in production.
Candidate must demonstrate:
Production deployed AI (not POCs)
Hands on with: Agents and/or RAG , Orchestration workflows
Experience with: Monitoring & logging, Performance, latency, reliability, Debugging production issues
Reject if: Only chatbots and "AI listed in resume with no operational depth
D. Hands On Engineering Depth
Personally writes, deploys, and debugs code
Can walk through:
How the system was built
Design tradeoffs
Production challenges
Reject if candidate only:
Designed or reviewed
Managed delivery
Delegated build work
E. Cloud Native & Tooling (Must Be Explicit)
Resume must clearly show:
APIs / microservices
Containers (Docker / Kubernetes) or serverless
CI/CD pipelines
Infrastructure as Code
Monitoring / observability tools
Required Skills & Experience
- 810+ years of software engineering experience
- Strong experience with cloud-native systems (APIs, microservices, containers, serverless)
- Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration)
- Proficiency in Python, Java, or similar backend languages
- Experience with:
- CI/CD pipelines
- Infrastructure as code
- Monitoring and observability tools
- Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)
- Experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI)
- Experience designing multi-agent or distributed AI systems
- Familiarity with enterprise-scale system integration
- Experience optimizing AI workloads for cost and performance
