AI Developer
Cloudgeometry
- New York, New York, United States
- New York, New York, United States
About
About CloudGeometry At CloudGeometry, we build cloud-first, AI-driven solutions for some of the most demanding companies out there, from Silicon Valley startups to US Fortune 500 enterprises. We’re an AWS Advanced Consulting Partner, CNCF member, Kubernetes Certified Service Provider, and part of the Linux Foundation AI & Data working group.
This is an engineering-first company. People here care about what they build, how they build it, and how it scales. You won’t disappear into a project black hole. Expect real collaboration, real ownership, and yes, sometimes even input from the CEO.
About the Role We’re looking for an AI Developer to join a high-impact AdTech project and help build production-grade AI systems that actually do things, not just sit in notebooks looking impressive.
You’ll design, build, and deploy AI solutions powered by LLMs and modern ML systems, working closely with engineers, product teams, and stakeholders to deliver real business value. Expect hands‑on work with multi‑agent systems, LLM pipelines, and cloud‑native AI infrastructure.
What You’ll Do
Design and implement AI/ML models and LLM-based systems for production use
Build and optimize workflows using
LangChain and LangGraph
Develop and deploy scalable AI solutions in cloud environments
Work with stakeholders to translate business needs into AI‑driven features
Integrate NLP and LLM capabilities into user‑facing applications
Prototype rapidly and iterate based on real‑world feedback
Monitor, debug, and improve model performance in production
Contribute to code reviews, documentation, and knowledge sharing
Stay current with advancements in AI, LLMs, and agent‑based systems
Must-Have Skills
Strong
Python
skills and solid ML fundamentals
Experience with
Databricks
(PySpark, Notebooks, Unity Catalog)
Hands‑on experience with
LangChain and LangGraph
Experience with
MLflow
(training, tracking, deployment)
Good
SQL
knowledge (MySQL / Databricks SQL)
Experience building and deploying
LLM‑powered applications
Understanding of
LLM guardrails, multi‑agent systems, and AI workflows
Experience working with cloud-based AI systems
Strong problem‑solving and analytical skills
English level:
B2–C1
Nice-to-Have
Experience evaluating or fine‑tuning LLMs (Llama, GPT, Gemini)
Familiarity with
RAG pipelines, vector databases , or mixed‑model architectures
Experience with
AI assistants, NLQ systems, or AdTech/Marketing analytics
Knowledge of
MLOps, CI/CD, and GitHub workflows
Experience with
Kubernetes, serverless, or cloud platforms (AWS/Azure)
Familiarity with
NestJS, Prisma , or backend integrations
Experience reducing AI/ML technical debt or working with AI copilots in IDEs
Who You Are
Proactive and fast‑learning, not waiting to be told obvious things
Detail-oriented but still able to see the bigger picture
Comfortable working independently in a distributed team
Genuinely interested in AI, not just chasing hype
Someone who shares knowledge and contributes to engineering culture
What We Offer
Work on modern AI products with global experts
Competitive compensation in USD (B2B or employment)
Remote‑first setup with flexible working hours
Paid leave, sick days, and holidays
Workspace budget ($2500) + software coverage
Paid certifications (AWS, Kubernetes, ML, etc.)
English lessons and continuous learning support
Access to international conferences (CNCF, KubeCon, etc.)
Engineering‑driven culture with minimal bureaucracy
Why Join Us We’re building serious AI systems, not demo projects. If you like working on real‑world problems, shipping production code, and being surrounded by people who actually know what they’re doing, you’ll fit right in.
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Languages
- English
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