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Llm Developer Jobs in Rochester, NY (NOW HIRING)

2T Consulting

AI/LLM Engineer

Brighton, NY · On-site

We are seeking a highly skilled AI/LLM Engineer to design, develop, and deploy intelligent agent-based systems capable of reasoning, planning, and executing tasks autonomously. The ideal candidate ...

2T Consulting

AI/LLM Engineer

Brighton, NY · On-site

We are seeking a highly skilled AI/LLM Engineer to design, develop, and deploy intelligent agent-based systems capable of reasoning, planning, and executing tasks autonomously. The ideal candidate ...

Pwc

AI Engineer

Rochester, NY · On-site

$50K - $112K/yr

... engineering ... LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation ...

2T Consulting

Python Agentic AI Engineer

York, NY · On-site

Strong experience with LLM integration, prompt engineering, and agent orchestration. * Experience with Gemini/OpenAI models, tool calling, function calling, structured outputs, and grounding. * Hands ...

New

2T Consulting

Python Agentic AI Engineer

Brighton, NY · On-site

Strong experience with LLM integration, prompt engineering, and agent orchestration. * Experience with Gemini/OpenAI models, tool calling, function calling, structured outputs, and grounding. * Hands ...

2T Consulting

Python Agentic AI Engineer

York, NY · On-site

Strong experience with LLM integration, prompt engineering, and agent orchestration. * Experience with Gemini/OpenAI models, tool calling, function calling, structured outputs, and grounding. * Hands ...

2T Consulting

Python Agentic AI Engineer

Brighton, NY · On-site

Strong experience with LLM integration, prompt engineering, and agent orchestration. * Experience with Gemini/OpenAI models, tool calling, function calling, structured outputs, and grounding. * Hands ...

MegazoneCloud

Sr. Full Stack Engineer

Rochester, NY · On-site

$145K - $165K/yr

LLM-backed workflows that generate code, validate outputs, compare results across languages and ... AWS certifications (Developer - Associate, Solutions Architect - Associate or Professional, or ...

Megazone Cloud US

Sr. Full Stack Engineer

Rochester, NY · On-site

$120 - $180/hr

LLM-backed workflows that generate code, validate outputs, compare results across languages and ... AWS certifications (Developer - Associate, Solutions Architect - Associate or Professional, or ...

WeTheHobby

Senior Software Engineer

Rochester, NY · On-site

$120 - $180/hr

Advanced proficiency in Cursor, Claude Code, or LLM-driven architectural design. Qualifications * Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related field ...

Outfront Media

Lead AI Platform Engineer

Rochester, NY · On-site

$175 - $200/hr

As a senior engineering owner, you will take full ownership of the architecture, write production ... LLM-backed systems that real users depend on. * Deep AWS experience, especially Bedrock, Lambda ...

Pwc

GenAI Python Systems Engineer-Manager

Rochester, NY · On-site

$99K - $232K/yr

... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS CloudFormation, Azure Resource Manager, Terraform - Building and deploying DevOps pipelines with cloud ...

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Llm Developer information

See Rochester, NY salary details

$25

$49

$78

How much do llm developer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for llm developer in Rochester, NY is $49.50, according to ZipRecruiter salary data. Most workers in this role earn between $38.89 and $60.00 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

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Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Rochester, NY as of August 2026, with employment types broken down into 79% Full Time, 6% Part Time, and 15% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $102,953 per year, or $49.5 per hour.

AI/LLM Engineer

Brighton, NY • On-site

2T Consulting
IT Services • 51 - 200 employees
Learn more about 2T Consultingexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a highly skilled AI/LLM Engineer to design, develop, and deploy intelligent agent-based systems capable of reasoning, planning, and executing tasks autonomously. The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms.

Roles and Responsibilities

Agent & AI System Development

  • Design and develop AI agent systems using LangChain, LangGraph, or similar frameworks.
  • Build intelligent components capable of reasoning, planning, and autonomous task execution.
  • Implement agentic patterns such as ReAct (Reasoning + Acting).
  • Develop multi-step LLM workflows and agent orchestration.

LLM Capabilities & Enhancements

  • Implement memory, tool usage, context management, and MCP capabilities.
  • Develop solutions using tool calling, chaining, and workflow orchestration.
  • Work with prompt engineering teams to improve LLM response quality and performance.
  • Optimize LLM applications for scalability, reliability, and cost.

Software Engineering

  • Develop high-quality, scalable, and maintainable Python applications, including asynchronous programming.
  • Build and maintain APIs and microservices for AI and agent-based applications.
  • Integrate AI services with enterprise applications and backend systems.
  • Develop production-ready solutions with appropriate testing, monitoring, and error handling.

Guardrails & Responsible AI

  • Design and implement guardrails and safety mechanisms for LLM-powered applications.
  • Handle edge cases, failures, hallucinations, and unintended model outputs.
  • Implement appropriate validation, security, and access controls for AI systems.

Data & Platform Integration

  • Integrate AI solutions with modern data platforms, including Snowflake and Databricks.
  • Work with Lakehouse architectures and enterprise data pipelines.
  • Enable LLM applications to securely access and leverage enterprise data.
  • Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Required Technical Skills

  • 5+ years of experience in software engineering, AI/ML engineering, or a related field.
  • Strong hands-on experience with Python and asynchronous programming.
  • Experience building LLM and generative AI applications.
  • Strong experience with LangChain, LangGraph, or similar agent frameworks.
  • Understanding of AI agents, ReAct, tool calling, memory, context management, and MCP.
  • Experience developing REST APIs and microservices.
  • Experience integrating AI applications with Snowflake, Databricks, or Lakehouse platforms.
  • Strong understanding of scalable, production-ready software architectures.
  • Knowledge of LLM guardrails, responsible AI, security, and failure handling.
  • Strong problem-solving, communication, and collaboration skills.

Preferred Skills

  • Experience with multi-agent systems and agent orchestration.
  • Knowledge of vector databases and RAG architectures.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with LLM observability, evaluation, and performance optimization.
  • Experience deploying AI applications in enterprise production environments.

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