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Now viewing: Principal AI Engineer & AI Engineer | Agentic AI / LLM
OS
Omiz Staffing Solutions (OSS)
Principal AI Engineer & AI Engineer | Agentic AI / LLM
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Job Description
Principal AI Engineer & AI Engineer | Agentic
AI / LLM
at Omiz Staffing Solutions (OSS) Principal AI Engineer & AI Engineer | Agentic
AI / LLM
at Omiz Staffing Solutions (OSS) in Nanuet, New York Posted in about 20 hours ago.
Type:
full-time ????
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.