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Python Development * LangChain * LangGraph * Agent-Based AI Systems * Autonomous AI Agents * ReAct (Reasoning + Acting) * LLM Reasoning, Planning & Task Execution * Model Context Protocol (MCP)
Quick apply
AI/LLM Engineer
New York, NY · On-site
Python Development * LangChain * LangGraph * Agent-Based AI Systems * Autonomous AI Agents * ReAct (Reasoning + Acting) * LLM Reasoning, Planning & Task Execution * Model Context Protocol (MCP)
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Quick apply
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Python Llm information
What is a Python LLM?
A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.
What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?
To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.
What are some common challenges faced by Python LLM engineers in their daily work?
Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.
What are the most commonly searched types of Python Llm jobs in New York?
The most popular types of Python Llm jobs in New York are:
What are popular job titles related to Python Llm jobs in New York?
For Python Llm jobs in New York, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in New York look for?
The top searched job categories for Python Llm jobs in New York are:
What cities in New York are hiring for Python Llm jobs?
Cities in New York with the most Python Llm job openings:
Full-time
Posted 12 days ago
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 in New York City, NY / Edison, NJ)
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