BlueAlly
Technology
SeniorAIEngineer
“Senior AI Engineer at BlueAlly. Skills: AI systems, LLM inference, MLOps, RAG applications. Lead AI systems design. Build AI systems”
What You'll Achieve.
Deliver production AI outcomes; Raise client capability; Raise BlueAlly practice
Industry & Context.
Troubleshooting; Root cause analysis
On-call rotation
What They're Looking For.
Must Have
7+ years software, data, or infrastructure engineering, 3+ years AI / LLM systems, Production-quality Python, Deep production Linux experience, Deep proficiency with Docker, Server-platform skills, Hands-on AI Factory platforms experience, Production vLLM experience, High-throughput, low-latency storage and network fabrics experience, Practical MLOps tooling and patterns experience, Hands-on vector databases and RAG pipelines experience, Production prompt engineering experience, Demonstrated LLM evaluation harnesses experience, Demonstrated client stakeholder engagement ability
Nice to Have
Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD), Cloud certifications, Linux certifications, NVIDIA certifications, HPE, Dell Technologies, or Nutanix platform certifications
What You'll Do.
Lead AI systems design
Engineer LLM inference serving stacks
Tune inference performance
Architect MLOps pipelines
Operate MLOps pipelines
Design RAG applications
Engineer RAG applications
Build prompt-engineering patterns
Tune prompt-engineering patterns
Design LLM evaluation harnesses
Maintain LLM evaluation harnesses
Engineer high-performance storage
Engineer high-performance networking
Operate Kubernetes clusters
Build container images
Maintain container images
Build CI/CD pipelines
Maintain CI/CD pipelines
Implement capacity planning
Engage client stakeholders
Communicate root cause
Communicate recommendations
Mentor junior engineers
Code-review junior engineers
Author reference architectures
Author knowledge base
Lead knowledge transfer
Lead enablement sessions
Participate in on-call rotation
Participate in incident response
Contribute reusable patterns
Contribute reusable tooling
Contribute reusable reference designs
How You'll Work.
Team & Collaboration
Client architects; Data scientists; Application teams; Client executives; Junior engineers
Communication Scope
Client-facing communication; Technical communication; Executive communication
Process & Methodology
Workstreams
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