Senior Software Engineer, AI Infrastructure Solutions
Core
Design, build, and operate AI infrastructure solutions powering LLM-based applications and autonomous agents across the enterprise.
Role type
Senior Software Engineer (AI Infrastructure)
Builds
Agentic AI workflows, multi-agent systems, LLM inference endpoints, and scalable containerized AI platforms.
Domain
Artificial Intelligence / Large Language Models / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, LLM integration, agentic AI workflows, multi-agent orchestration, RAG, Docker, Kubernetes, CI/CD pipelines, RESTful API development, observability, root-cause analysis, performance tuning
Preferred skills
C#/.NET Core, GPU-accelerated workloads, NVIDIA AI Enterprise, Triton Inference Server, NeMo, MCP (Model Context Protocol), LLM evaluation frameworks
Technologies
LangChain, LangGraph, Docker, Kubernetes, Helm, GitHub Actions, Azure DevOps, GitLab CI, Jenkins, NVIDIA NIM, OpenAI-compatible APIs, Hugging Face
Responsibilities
Design and build AI infrastructure for LLM applications; develop agentic AI workflows and multi-agent systems; integrate and serve LLMs via APIs; containerize and deploy applications on Kubernetes; own production readiness and L3 support; define observability for AI systems; build CI/CD pipelines; develop high-performance backend services
Seniority
Senior, hands-on IC
