Remote LLM Platform Engineer — Build & Scale AI Infra

sumersports; Germany (OH); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive Salary and Bonus Plan

Comprehensive health insurance plan

Retirement savings plan (401k) with company match

Remote working environment

Flexible, unlimited time off policy

Generous paid holiday schedule - 13 in total

Job summary

sumersports is seeking an ML/AI Engineer to build and operate core infrastructure for our AI-first product organization. You will design and scale LLM-based applications and work with cross-functional teams to ensure rapid, safe deployments. Ideal candidates will have over 5 years of experience in ML and NLP, strong Python skills, and expertise with frameworks like LangChain and LlamaIndex. Benefits include competitive salary, comprehensive health insurance, and a flexible remote working environment.

Qualifications

• 5+ years of experience in applied ML, NLP, or ML infrastructure engineering.
• Strong coding skills in Python and experience with frameworks like LangChain, LlamaIndex, or Haystack.
• Solid understanding of retrieval-augmented generation (RAG), embeddings, vector databases, and evaluation methodologies.
• Experience deploying models or AI systems in production environments (AWS, GCP, or Azure).
• Familiarity with prompt management, LLM observability, and CI/CD automation for AI workflows.

Responsibilities

• Build and operate the LLM Platform for multi-model workflows.
• Implement automated evaluation pipelines with rigorous standards.
• Collaborate with product pods and data teams for optimized LLM workflows.
• Profile performance for latency, token usage, and caching strategies.
• Implement guardrails for safety in AI usage.

Skills

Applied ML

NLP

Infrastructure engineering

Python coding

LangChain

LlamaIndex

Haystack

Tools

AWS

GCP

Azure

vLLM

Triton

Ray Serve

KServe

Job description

sumersports is seeking an ML/AI Engineer to build and operate core infrastructure for our AI-first product organization. You will design and scale LLM-based applications and work with cross-functional teams to ensure rapid, safe deployments. Ideal candidates will have over 5 years of experience in ML and NLP, strong Python skills, and expertise with frameworks like LangChain and LlamaIndex. Benefits include competitive salary, comprehensive health insurance, and a flexible remote working environment.