Forward Deployed AI Engineer, Remote, US only as travel, $120,000 - $175,000 OTE + Equity, ML, GenAI, or AI applications in production, Kubernetes

The Space Inc.
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 175K

Job location

Remote

Tech stack

Java
JavaScript
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Engineering
Computer Programming
Python
TensorFlow
TypeScript
AI Infrastructure
PyTorch
Large Language Models
Kubernetes
Go

Job description

I'm partnering with a rapidly growing Series C AI company that is helping some of the world's leading enterprises build, monitor, evaluate, and optimise AI and agentic systems at scal

e.Backed by over $135M in funding and trusted by organisations including Netflix and Uber, this business sits at the centre of the AI infrastructure ecosyste

m. The R

ole This is a highly technical, customer-facing position where you'll work directly with some of the most sophisticated ML and GenAI teams in the wo

rld. You'll act as a trusted advisor to customers, helping them deploy, monitor, evaluate, and improve AI applications in production while partnering with stakeholders ranging from engineers and data scientists through to directors and execut

ives. What You'll Be

Doing* Advising enterprise customers on AI, GenAI, and ML best pra

ctices* Working closely with leading ML and LLM engineering

teams* Delivering technical product demonstrations and wor

kshops* Supporting customers throughout the AI development lif

ecycle* Conducting strategic business reviews alongside Sales

Requirements

ing For* Experience building or supporting ML, GenAI, or AI applications in pro

duction* Strong understanding of model development, deployment, evaluation, and mon

itoring* Experience with LLMs, RAG, agents, or modern AI fra

meworks* Knowledge of tools such as LangGraph, LlamaIndex, DSPy, TensorFlow, PyTorch, or Sciki

t-learn* Experience working within AWS, Azure,

or GCP* Programming experience in Python, JavaScript/TypeScript, Java, Go, or

similar* Excellent communication skills and ability to engage both technical and business au

diences Nice

To Have* Customer-facing experience in Solutions Engineering, Solutions Architecture, Professional Services, Consulting, or Customer Success Eng

ineering* Experience with Kubernetes and cloud-native infras

tructure* Experience presenting technical solutions to executive stak

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