AI/LLM Engineer

Northern Base; New York (NY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Northern Base is seeking an AI/LLM Engineer to design and build production-grade autonomous AI agents and agent-based systems. The role requires strong Python development skills, experience with LangChain/LangGraph, and integration into enterprise data platforms.

You will collaborate on guardrails, safety mechanisms, and scalable API/microservice components. The candidate should have 8–10 years of experience, be willing to work from Edison, NY, and participate in an in-person final interview.

Qualifications

• 8–10 years of AI/LLM engineering experience.
• Strong expertise in Python development and async programming.
• Experience with LangChain, LangGraph, and agent-based systems.
• Knowledge of data platforms like Snowflake/Databricks and lakehouse architecture.

Education

Bachelor s Degree in Computer Science or related field

Tools

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

Job description

Hiring Alert | AI/LLM Engineer

Location: Edison, NY (Hybrid 3 Days Onsite)

Employment Type: Full-Time

Experience Required: 8 10 Years

Visa Type: USC / GC Only

Interview Mode: In-person (Final Round)

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

Preferred Experience:

• 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