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Prompt Engineering Jobs in Buffalo, NY (NOW HIRING)

... experience with prompt engineering, evaluation frameworks, and output validation techniques. 4. Experience preparing datasets, taxonomies, metadata models, and knowledge repositories for AI ...

AI Engineering Lead

Buffalo, NY · On-site

$99K - $130K/yr

Background in prompt engineering, RAG (Retrieval-Augmented Generation), or enterprise LLM integration patterns. * Microsoft certifications: AI-102 (Azure AI Engineer), MS-900/M365, or Power Platform ...

Generative AI Engineer

Buffalo, NY · On-site

$65 - $75/hr

Understanding of prompt engineering and prompt injection risks * Experience with AI evaluation frameworks * Strong software engineering background * Ability to discuss recent GenAI projects in detail ...

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for developing applications. Requirements: - Bachelor's degree or Diploma in Computer Science, Engineering ...

Hands-on experience with GenAI models and AI-assisted development workflows (coding assistants, prompt engineering, RAG/context engineering, or agent-based automation). * Hands-on Azure experience ...

ChatGPT Tutor

Buffalo, NY · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for developing applications. Responsibilities & Duties: - Contribute to architectural discussions, make ...

AI Solutions Engineering Delivery Lead

Buffalo, NY · On-site

$99K - $130K/yr

... prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational certifications highly desirable - Extensive experience with ...

Hands-on experience with GenAI models and AI-assisted development workflows (coding assistants, prompt engineering, RAG/context engineering, or agent-based automation). * Hands-on Azure experience ...

... prompt engineering concepts - Understanding enterprise data patterns and quality frameworks - Building and maintaining automated test suites for AI agents - Validating integrations with Power ...

AI Engineer

Buffalo, NY · On-site

$50K - $112K/yr

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation frameworks, including LLM-as-judge ...

... prompt engineering for LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS CloudFormation, Azure Resource Manager, Terraform - Building and deploying ...

... prompt engineering for LLM outputs - Developing scalable data storage solutions using cloud services - Designing and managing data warehouses and data lakes - Implementing IAM roles and policies for ...

New

ERP AI Engineer - Manager

Buffalo, NY · On-site

$99K - $232K/yr

... prompt engineering - Building scalable, cloud-native microservices and containerized deployments - Proficiency with MLOps tooling and CI/CD pipelines for ML - Experience with vector databases and ...

Claude Tutor

Buffalo, NY · Remote

$18 - $40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context processing, analytical reasoning, code generation, document analysis, creative writing assistance, and ...

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Prompt Engineering information

See Buffalo, NY salary details

$31.5K

$61K

$92.5K

How much do prompt engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for prompt engineering in Buffalo, NY is $61,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $69,700.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

Is prompt engineering still in demand?

Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.

What are the most commonly searched types of Prompt Engineering jobs in Buffalo, NY?

The most popular types of Prompt Engineering jobs in Buffalo, NY are:

What are popular job titles related to Prompt Engineering jobs in Buffalo, NY?

For Prompt Engineering jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering jobs in Buffalo, NY look for?

The top searched job categories for Prompt Engineering jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Prompt Engineering jobs?

Cities near Buffalo, NY with the most Prompt Engineering job openings:

Infographic showing various Prompt Engineering job openings in Buffalo, NY as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $61,004 per year, or $29.3 per hour.

AI Engineer & Analyst Full time position

Vigna Solutions Inc.

Buffalo, NY • On-site

$130K/yr

Other

Posted 4 days ago


Job description

AI Engineer & Analyst

Buffalo, NY (4 days onsite) – Locals only

Full Time

Salary -  $130k 

Must-Have Skills (Top 5)

1. Experience developing AI/GenAI solutions involving document intelligence, semantic search, and LLM-based analysis.

2. Proven experience performing AI-assisted regulatory, policy, contract, or knowledge analysis use cases.

3. Hands-on experience with prompt engineering, evaluation frameworks, and output validation techniques.

4. Experience preparing datasets, taxonomies, metadata models, and knowledge repositories for AI applications.

5. Strong analytical and reporting skills with experience translating AI outputs into actionable business recommendations.

Good-to-Have Skills (Top 3)

1. Banking or regulatory domain exposure.
2. Experience with vector databases and RAG architectures.
3. Knowledge of responsible AI and governance principles