AI/LLM Engineer

Northern Base

New York, NY, United States

24 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Compensation

$62,400.0 - $72,800.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Applications Architecture Data Architecture Python (Programming Language) Machine Learning Systems Integration Enterprise Data Management ReactJS Large Language Models Snowflake Multi-Agent Systems

+9 more

Prompt Engineering Information Technology Data Analytics Data Management Virtual Agents Restful APIs Data Pipelines Databricks Microservices

Job description

Must-Have Skills: AI/LLM Engineering Python Development LangChain LangGraph Agent-Based AI Systems Autonomous AI Agents ReAct (Reasoning + Acting) LLM Reasoning, Planning & Task Execution Model Context Protocol (MCP) Tool Calling & Tool Integration LLM Workflow Chaining & Orchestration Memory & Context Management Prompt Engineering Collaboration Async Python Programming API & Microservices Development Scalable AI Application Architecture LLM Guardrails & Safety Mechanisms Responsible AI & Edge Case Handling Snowflake Databricks Lakehouse Architecture Enterprise Data Platform Integration, Summary We are seeking a Senior Data Scientist / Machine Learning Engineer to support Chobani’s Data & Analytics organization with a strong focus on measurement, forecasting, pla…

1 day ago

Requirements

Experience designing and building production-ready agentic AI systems Experience with LangChain, LangGraph, or similar agent frameworks Experience implementing autonomous reasoning and planning capabilities Experience integrating LLMs with enterprise tools and data platforms Experience developing scalable APIs and microservices for AI applications Experience implementing guardrails and responsible AI practices Experience with Snowflake and Databricks data platforms Experience with Lakehouse architectures and enterprise data pipelines Strong understanding of LLM orchestration patterns and agent workflows Strong problem-solving and communication skills Willingness to work from the Edison office 3 days per week Ability to attend an in-person F2F interview in Edison Education: Bachelor s Degree in Computer Science or related field preferred. Tech Stack: Python | LangChain | LangGraph | LLMs | Agentic AI | AI Agents | ReAct | MCP | Tool Calling | LLM Orchestration | Prompt Engineering | Async Python | APIs | Microservices | AI Guardrails | Responsible AI | Snowflake | Databricks | Lakehouse | Data Pipelines | Enterprise AI | AI System Architecture