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Llm Developer Jobs in Rochester, NY (NOW HIRING)

Specialist, Application Developer Job Code: 38077 Job Location: (On Site) Melbourne, FL; Rochester ... Build and integrate LLM-based applications leveraging generative AI technologies for business use ...

SR Software Engineer (Data) - Remote, US

Rochester, NY ยท Remote

$125K - $165K/yr

We are looking for a Senior Software Engineer with a strong focus on Data and experience building infrastructure for LLM-powered applications and agent-based systems. In this role, you will work on ...

Senior Agentic AI Engineer

Rochester, NY ยท On-site

$103K - $141K/yr

EXPERIENCE Required: * 6+ years of professional software engineering experience, including 2+ years building LLM-based or AI-powered systems in production. * Hands-on experience with retrieval ...

Senior Agentic AI Engineer

Rochester, NY ยท On-site

$103K - $141K/yr

EXPERIENCE Required: * 6+ years of professional software engineering experience, including 2+ years building LLM-based or AI-powered systems in production. * Hands-on experience with retrieval ...

Sr. Full Stack Engineer

Rochester, NY ยท 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 ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

Senior Software Engineer

Rochester, NY ยท 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 ...

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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 9, 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 Llm developer?

A Large Language Model (LLM) developer designs, trains, and fine-tunes large-scale AI models for natural language processing tasks. They work with machine learning frameworks, handle large datasets, and optimize models for performance and accuracy, often requiring knowledge of programming languages like Python and tools such as TensorFlow or PyTorch.
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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 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $102,953 per year, or $49.5 per hour.

Specialist, Application Developer

L3HHCM20

Rochester, NY โ€ข On-site

$92K - $171K/yr

Full-time

Medical, Retirement, PTO

Re-posted 8 days ago


Job description

Job Title: Specialist, Application Developerย 

Job Code:ย 38077

Job Location: (On Site) Melbourne, FL; Rochester, NY; Salt Lake City, UT; or Rockwall TX

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

This position is responsible for developing, implementing, and maintaining AI-powered applications and automation solutions that drive business value across the enterprise. This role combines application development expertise with data engineering and artificial intelligence capabilities to build intelligent systems that enhance operational efficiency and enable data-driven decision-making. The selected candidate will work closely with software application development, data engineering, IT, and business stakeholders to deliver secure, scalable, and business-relevant solutions.

Essential Functions:

  • Design, develop, test, and maintain AI-powered applications and automation solutions using modern development frameworks and cloud platforms
  • Work within Palantir Foundry (or similar platforms) to build data-driven applications and analytical workflows
  • Support end-to-end software development activities, including requirements analysis, architecture, coding, integration, testing, and deployment
  • Build and integrate LLM-based applications leveraging generative AI technologies for business use cases
  • Develop agentic AI systems that can autonomously perform tasks, make decisions, and interact with multiple tools and APIs
  • Create and maintain data pipelines for AI model integration, feature engineering, and real-time inference
  • Implement AI solutions for classification, prediction, natural language processing, and computer vision applications
  • Build automation workflows that integrate AI capabilities with existing enterprise systems and business processes
  • Develop APIs, microservices, and supporting components to expose AI functionality to downstream applications and users
  • Perform model evaluation, validation, and performance analysis using appropriate technical metrics
  • Optimize application performance, scalability, and cost-efficiency of AI workloads
  • Ensure compliance with software development standards, cybersecurity requirements, data protection policies, and responsible AI practices
  • Collaborate with cross-functional teams to translate business and technical needs into effective solutions
  • Evaluate and integrate emerging AI technologies and frameworks to maintain competitive advantage
  • Prepare and maintain technical documentation, design artifacts, user guides, and test results
  • Troubleshoot and resolve issues in production AI systems, implementing monitoring and alerting solutions
  • Support lifecycle sustainment of deployed capabilities including defect resolution and performance improvements
  • Participate in agile development processes including sprint planning, daily standups, retrospectives, and technical reviews
  • Contribute to the development of reusable AI components and internal libraries
  • Contribute technical solutions within established architectures and development processes
  • Identify risks and recommend mitigation strategies
  • Stay current with the rapidly evolving AI landscape and share knowledge with the broader team

Qualifications:

  • Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.

Preferred Additional Skills:

  • Strong programming skills and experience with at least one modern programming language (Python, Java, C#, JavaScript, etc.)
  • Hands-on experience working with LLMs and generative AI APIs
  • Demonstrated experience building and deploying applications that integrate AI capabilities
  • Experience with software integration, REST APIs, and service-based architectures
  • Proficiency in data manipulation and analysis using pandas, SQL, and data warehousing concepts
  • Familiarity with version control (Git), automated builds, testing processes, and modern development workflows
  • Experience with Palantir Foundry platform for building data applications and workflows
  • Knowledge of agentic AI frameworks (LangChain, LangGraph, AutoGPT, CrewAI, etc.)
  • Experience with vector databases and RAG architecture
  • Familiarity with prompt engineering techniques and LLM fine-tuning approaches
  • Front-end development skills (React, Vue, or similar) for building AI application interfaces

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $92,500-$171,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $80,500-$149,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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