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Genai Developer Jobs in Pittsburgh, PA (NOW HIRING)

System One

GenAI Context Engineer

Pittsburgh, PA · On-site

GenAI Context Engineer Duration : Permanent Full Time Location : Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Work Mode : 5 Days Onsite Looking to hire a Context Engineer who will be responsible ...

System One

GenAI Context Engineer

Pittsburgh, PA · On-site

GenAI Context Engineer Duration : Permanent Full Time Location : Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Work Mode : 5 Days Onsite Looking to hire a Context Engineer who will be responsible ...

System One

GenAI Context Engineer

Pittsburgh, PA · On-site

GenAI Context Engineer Duration : Permanent Full Time Location : Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Work Mode : 5 Days Onsite Looking to hire a Context Engineer who will be responsible ...

System One

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

GenAI Ops Solution Architect Permanent Full Time 5 days Strongsville, OH, Dallas, TX, or Pittsburgh ... The architect will work closely with business stakeholders, engineering teams, platform teams ...

System One

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

GenAI Ops Solution Architect Permanent Full Time 5 days Strongsville, OH, Dallas, TX, or Pittsburgh ... The architect will work closely with business stakeholders, engineering teams, platform teams ...

System One

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

GenAI Ops Solution Architect Permanent Full Time 5 days Strongsville, OH, Dallas, TX, or Pittsburgh ... The architect will work closely with business stakeholders, engineering teams, platform teams ...

System One

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

GenAI Ops Solution Architect Permanent Full Time 5 days Strongsville, OH, Dallas, TX, or Pittsburgh ... The architect will work closely with business stakeholders, engineering teams, platform teams ...

System One

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

GenAI Ops Solution Architect Permanent Full Time 5 days Strongsville, OH, Dallas, TX, or Pittsburgh ... The architect will work closely with business stakeholders, engineering teams, platform teams ...

System One

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

GenAI Ops Solution Architect Permanent Full Time 5 days Strongsville, OH, Dallas, TX, or Pittsburgh ... The architect will work closely with business stakeholders, engineering teams, platform teams ...

System One

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

GenAI Ops Solution Architect Duration : Permanent Full Time Location : Strongsville, OH, Dallas ... The architect will work closely with business stakeholders, engineering teams, platform teams ...

System One

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

GenAI Ops Solution Architect Permanent Full Time 5 days Strongsville, OH, Dallas, TX, or Pittsburgh ... The architect will work closely with business stakeholders, engineering teams, platform teams ...

System One

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

GenAI Ops Solution Architect Duration : Permanent Full Time Location : Strongsville, OH, Dallas ... The architect will work closely with business stakeholders, engineering teams, platform teams ...

System One

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

GenAI Ops Solution Architect Duration : Permanent Full Time Location : Strongsville, OH, Dallas ... The architect will work closely with business stakeholders, engineering teams, platform teams ...

System One

GenAI Ops Intent Lead

Pittsburgh, PA · On-site

$17.50 - $21.75/hr

Working closely with engineering teams, architects, and business leaders, the Intent Lead ensures solutions align with strategic objectives, governance requirements, and operational needs.

System One

GenAI Ops Intent Lead

Pittsburgh, PA · On-site

$17.50 - $21.75/hr

Working closely with engineering teams, architects, and business leaders, the Intent Lead ensures solutions align with strategic objectives, governance requirements, and operational needs.

System One

GenAI Ops Intent Lead

Pittsburgh, PA · On-site

$17.50 - $21.75/hr

Working closely with engineering teams, architects, and business leaders, the Intent Lead ensures solutions align with strategic objectives, governance requirements, and operational needs.

System One

GenAI Ops Intent Lead

Pittsburgh, PA · On-site

$17.50 - $21.75/hr

Working closely with engineering teams, architects, and business leaders, the Intent Lead ensures solutions align with strategic objectives, governance requirements, and operational needs.

System One

GenAI Ops Intent Lead

Pittsburgh, PA · On-site

$17.50 - $21.75/hr

Working closely with engineering teams, architects, and business leaders, the Intent Lead ensures solutions align with strategic objectives, governance requirements, and operational needs.

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Genai Developer information

See Pittsburgh, PA salary details

$16

$51

$79

How much do genai developer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for genai developer in Pittsburgh, PA is $51.30, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $62.79 per hour, depending on experience, location, and employer.

What is a GenAI developer?

GenAI Developers are professionals who design, build, and optimize applications using generative artificial intelligence technologies. They work with models such as GPT, DALL-E, or Stable Diffusion to create tools for generating text, images, code, and other content. These developers need strong programming skills, a solid understanding of machine learning, and experience working with AI frameworks and APIs. Their responsibilities often include training custom models, integrating AI into products, and ensuring ethical use of generative AI solutions.

What are some common challenges GenAI developers face when integrating generative AI models into existing products?

GenAI Developers often encounter challenges related to model deployment, scalability, and ensuring data privacy when integrating generative AI models into established products. Balancing the computational requirements of large AI models with real-time application demands can be complex, and optimizing inference speed without sacrificing model quality is a key consideration. Additionally, collaborating closely with product managers, data scientists, and DevOps teams is essential to align AI outputs with business goals and maintain robust, ethical AI practices.

What are the key skills and qualifications needed to thrive as a GenAI developer, and why are they important?

To thrive as a GenAI Developer, you need a strong background in machine learning, deep learning frameworks (like TensorFlow or PyTorch), and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (AWS, Azure, GCP), APIs, and prompt engineering, as well as certifications in AI or ML, are typically used in this role. Creativity, problem-solving, and effective communication set outstanding GenAI Developers apart. These skills are crucial for building, optimizing, and deploying powerful generative AI models that address complex business challenges.

What is the difference between Genai Developer vs Machine Learning Engineer?

AspectGenai DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming and ML skills
Work EnvironmentDevelops AI models focused on generative AI, often in AI startups or tech companiesBuilds and deploys ML models across various industries, including tech, finance, healthcare
Employer & Industry UsagePrimarily in AI-focused companies, research labs, and tech firmsWidely used across industries like tech, finance, healthcare, and retail

While both roles involve AI and machine learning, Genai Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a broader range of ML models for various applications. The roles overlap in skills and tools but differ in focus and industry applications.

How to become a GenAI developer?

To become a GenAI developer, you should gain expertise in machine learning, deep learning, and natural language processing, with a focus on generative models like GPT. Proficiency in programming languages such as Python, experience with frameworks like TensorFlow or PyTorch, and understanding of large language models are essential. Building a portfolio of projects and staying updated with AI research can also enhance your qualifications.

Is a Genai Developer a promising career?

A Genai Developer is a growing role focused on developing and implementing generative AI models, which are increasingly used across industries. The field requires skills in machine learning, programming, and AI frameworks, and offers strong job growth prospects due to expanding AI adoption. Continuous learning and staying updated with new tools are important for success in this career.
Genai Developer jobs near you
Infographic showing various Genai Developer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $106,697 per year, or $51.3 per hour.

GenAI Context Engineer

System One

Pittsburgh, PA • On-site

Full-time

Re-posted 18 days ago

Job description

Job Title: GenAI Context Engineer Duration : Permanent Full Time Location : Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Work Mode : 5 Days Onsite Looking to hire a Context Engineer who will be responsible for designing, building, and optimizing the enterprise knowledge and retrieval foundation that powers Generative AI applications. This role focuses on enabling high quality, grounded, and context aware AI experiences through Retrieval Augmented Generation (RAG), semantic search, metadata engineering, and enterprise knowledge orchestration. The Context Engineer ensures AI systems retrieve the right information, from the right sources, at the right time — securely, accurately, and in alignment with enterprise governance standards. Future duties and responsibilities

  • Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications.
  • Build and optimize semantic retrieval pipelines, vector search implementations, and contextual grounding frameworks.
  • Develop ingestion pipelines for enterprise knowledge sources including SharePoint, Confluence, Jira, APIs, databases, and document repositories.
  • Define metadata, taxonomy, ontology, chunking, and embedding strategies to improve retrieval relevance and AI response quality.
  • Implement permission aware retrieval and secure knowledge access aligned with enterprise governance and compliance requirements.
  • Design and optimize hybrid search architectures combining vector search, keyword search, and knowledge graph capabilities.
  • Collaborate with Value Engineers, architects, and business stakeholders to translate enterprise knowledge into scalable AI ready knowledge structures.
  • Improve groundedness, citation accuracy, retrieval precision, and hallucination reduction across GenAI solutions.
  • Maintain knowledge lineage, auditability, and contextual traceability for enterprise AI workflows.
  • Support AI evaluation, observability, and continuous improvement initiatives for retrieval quality and search performance.
  • Work closely with governance, security, and compliance teams to ensure responsible and secure enterprise AI knowledge access.
  • Contribute to reusable enterprise knowledge engineering patterns and platform accelerators.
Required qualifications to be successful in this role
  • 6+ years of experience in knowledge engineering, enterprise search, data engineering, AI engineering, or platform engineering roles.
  • Experience building enterprise AI search or knowledge platforms in banking, financial services, healthcare, or other regulated industries.
  • Familiarity with knowledge graphs, ontology modeling, AI observability, and enterprise governance frameworks.
  • Understanding of responsible AI, groundedness evaluation, and enterprise compliance requirements for GenAI systems.
  • Hands on experience with Retrieval Augmented Generation (RAG), semantic search, embeddings, vector databases, and enterprise knowledge systems.
  • Strong programming skills in Python and experience with API based integrations.
  • Experience with GenAI and retrieval technologies such as: o Azure OpenAI / OpenAI o Azure AI Search o LangChain / Semantic Kernel o Elasticsearch / OpenSearch o Vector databases and embedding frameworks
  • Experience designing ingestion pipelines, metadata frameworks, chunking strategies, and contextual retrieval systems.
  • Strong understanding of enterprise data governance, access control, lineage, and permission aware retrieval. Experience integrating enterprise content systems including SharePoint, Confluence, Jira, document repositories, and enterprise APIs.
  • Familiarity with cloud platforms such as Azure, AWS, or GCP and containerized environments.
  • Strong analytical, troubleshooting, and problem solving skills.
  • Excellent communication and collaboration skills with the ability to work across engineering, architecture, governance, and business teams.
Required Skills:
  • LangChain
  • LangGraph
  • LlamaIndex
  • Microsoft Azure AI Solution
  • OpenAI
  • Python
  • Retrieval-Augmented Gen.(RAG)
Ref: #404-IT Pittsburgh

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About System One

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System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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