Principal AI Engineer & AI Engineer | Agentic AI / LLM

**🚀 Hiring: Principal AI Engineer & AI Engineer Agentic AI / LLM**

We’re looking for hands-on AI Engineers and Staff/Principal-level AI Engineers to build and productionize next-generation Agentic AI and Generative AI solutions for enterprise environments.

These are engineering-heavy roles for candidates who have actually built and deployed LLM/Agentic AI systems into production — not just prompt engineering, research, or basic chatbot/API integrations.

📍 Location: New York City, NY — Hybrid, 3 Days Onsite/Week

🕐 Work Hours: EST overlap required

💼 Roles

Principal AI Engineer

• 8–14 years software engineering experience

• 10+ years preferred

• 2+ years hands-on LLM/GenAI engineering

• H-1B transfer candidates can be considered

AI Engineer

• Strong hands-on Python

• 5+ years AI/ML/GenAI experience

• Strong production AI/LLM engineering experience

• Overall years of experience are flexible for strong AI candidates

🔥 Key Technical Skills

AI / LLM / Agentic AI:

Generative AI / LLMs

Agentic AI & autonomous agents

Agent orchestration

Tool calling / Function calling

MCP / Model Context Protocol

LangGraph, CrewAI, Google ADK, Claude Agent SDK or equivalent

RAG:

RAG architecture

Document ingestion & chunking

Embeddings

Vector & hybrid search

Retrieval & reranking

Context management

Response validation

Pinecone, Milvus, Weaviate, FAISS or equivalent

Engineering:

Strong Python

APIs & microservices

Distributed systems

Backend engineering

Data pipelines

System design

Evaluation & Reliability:

LLM evaluation

Regression testing

AI observability & tracing

LangSmith / Langfuse

Guardrails

Validators & fallback mechanisms

AI reliability engineering

Cloud / DevOps

AWS — EKS/ECS, Lambda, S3, DynamoDB, Redshift, Step Functions, Bedrock

Docker / Kubernetes

Terraform / CloudFormation

CI/CD

Azure / GCP

🎯 What We’re Looking For

We want engineers who can demonstrate real production ownership, including:

✅ Built and deployed production LLM applications

✅ Built production Agentic AI systems

✅ Strong RAG implementation experience

✅ Hands-on MCP and tool-calling experience

✅ Strong Python engineering

✅ Experience with embeddings, chunking & vector databases

✅ Experience optimizing AI systems for latency, cost and token usage

✅ Ability to own AI systems end-to-end

Profiles focused primarily on prompt engineering, academic research, basic chatbots, or simple LLM API integrations are not the target for these positions.