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 integration endpoints, and scalable containerized AI platforms.
Domain
Artificial Intelligence / Large Language Models / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, C#/.NET Core, Docker, Kubernetes, LLM integration, API development, CI/CD pipelines, observability, root-cause analysis, multi-agent orchestration, RAG
Preferred skills
GPU-accelerated workloads, NVIDIA AI Enterprise, Triton Inference Server, NeMo, Model Context Protocol (MCP), LLM evaluation frameworks
Technologies
LangChain, LangGraph, OpenAI-compatible APIs, NVIDIA NIM, Hugging Face, GitHub Actions, Azure DevOps, GitLab CI, Jenkins, RESTful APIs
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 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
