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Gen Ai Software Developer Jobs in Pittsburgh, PA

GenAI Python developer

Pittsburgh, PA · On-site

$65K - $80K/yr

Python Gen AI Position Must have: Python, Flask/Django, RAG . Nice to have LLM, LongChain, AWS ... Requirement: ● Experience in software development in Python3. ● Decent understanding of the ...

Sr. Storage Software Developer

Pittsburgh, PA · On-site +1

$53 - $70/hr

... AI and high-performance computing market. We are seeking a highly experienced Senior Storage ... Collaborate closely with cross-functional teams, including software engineers, architects, and ...

Sr. Storage Software Developer

Pittsburgh, PA · On-site

$53 - $70/hr

... AI and high-performance computing market. We are seeking a highly experienced Senior Storage ... Collaborate closely with cross-functional teams, including software engineers, architects, and ...

Sr. Storage Software Developer

Pittsburgh, PA · On-site +1

$53 - $70/hr

... AI and high-performance computing market. We are seeking a highly experienced Senior Storage ... Collaborate closely with cross-functional teams, including software engineers, architects, and ...

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Showing results 1-20

Gen Ai Software Developer information

See Pittsburgh, PA salary details

$46.6K

$108.6K

$161.2K

How much do gen ai software developer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for gen ai software developer in Pittsburgh, PA is $108,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $126,200.00 per year, depending on experience, location, and employer.

What is a Gen AI software developer?

A Gen AI Software Developer is a professional who designs, builds, and maintains software systems that leverage generative artificial intelligence models, such as large language models (LLMs) or generative adversarial networks (GANs). Their work often involves training, fine-tuning, and deploying AI models to generate content, automate tasks, or enhance user experiences in applications. They need strong programming skills, a solid understanding of machine learning principles, and familiarity with AI frameworks. Gen AI Software Developers collaborate with data scientists, engineers, and product teams to deliver innovative AI-driven solutions. As generative AI becomes more prevalent, these developers play a key role in shaping the future of software development.

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

To thrive as a Gen AI Software Developer, you need strong programming skills (especially in Python), a background in computer science or a related field, and expertise in machine learning and deep learning principles. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of version control systems are typically required, along with certifications in AI or data science being advantageous. Creative problem-solving, collaboration, and effective communication help developers work across technical and non-technical teams and drive innovation. These skills ensure the development of robust, scalable AI solutions that address real-world needs and integrate seamlessly within organizations.

How do Gen AI software developers typically collaborate with data scientists and product managers during the development process?

Gen AI Software Developers regularly work alongside data scientists to translate machine learning models into scalable, production-ready applications. They collaborate closely with product managers to understand user requirements and ensure that AI-powered features align with business goals. This teamwork often involves participating in cross-functional meetings, iterative feedback cycles, and joint problem-solving sessions to address technical challenges and optimize model performance. Clear communication and a shared understanding of project objectives are essential for success in this collaborative environment.

What is the difference between Gen Ai Software Developer vs Machine Learning Engineer?

AspectGen Ai Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming skills
Work EnvironmentTech companies, startups, AI-focused teamsResearch labs, tech firms, AI/ML departments
Employer & Industry UsageAI product development, software solutionsModel development, data analysis, AI system deployment
Common Search & ComparisonFocuses on AI application development in softwareFocuses on building and optimizing ML models

While both roles involve AI and require programming skills, Gen Ai Software Developers primarily focus on creating AI-powered software applications, whereas Machine Learning Engineers specialize in designing, building, and optimizing machine learning models. The roles often overlap but differ in their core focus and typical work environments.

What cities near Pittsburgh, PA are hiring for Gen Ai Software Developer jobs?

Cities near Pittsburgh, PA with the most Gen Ai Software Developer job openings:

Infographic showing various Gen Ai Software Developer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $108,581 per year, or $52.2 per hour.

GenAI Python developer

BeaconFire Inc.

Pittsburgh, PA • On-site

$65K - $80K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Title: Python Gen AI Position

Must have: Python, Flask/Django, RAG.

Nice to have LLM, LongChain, AWS, Kubernetes, Docker.


Job Responsibilities:


● Collaborate with the team to design and develop high quality Web applications using

Python, Flask, Django, and related technologies.

● Write clean and efficient code, and ensure code maintainability and reusability.

● Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking,

embeddings, indexing, retrieval, reranking, grounding).

● Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs)

using Python-first frameworks.

● Perform code reviews to ensure code quality and consistency.

● Conduct testing to ensure application quality and reliability.

● Create and maintain technical documentation for web applications.

● Participate in project planning, estimation, and prioritization.

● Stay up to date with the latest technologies for Python development.

● Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding

checks), and improve system quality iteratively.

● Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD,

and security best practices.


Requirement:


● Experience in software development in Python3.

● Decent understanding of the software development/testing life cycle.

● Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc)slanguage skills

● Experience with version control tools, such as Git.

● Experience building RAG solutions (hybrid search, reranking, chunking strategies,

embeddings, prompt + schema design).

● Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex,

Semantic Kernel, AutoGen) and tool/function calling patterns.

● Solid knowledge of vector search concepts and at least one vector DB in production.

● Strong engineering practices: code reviews, testing, telemetry, secure-by-design,

reliability mindset.


Preferred Qualifications:


● Master’s Degree in Computer Science, Software Engineering, or related field.

● 1+ year professional experience in Python web application development with either

Flask or Django.

● Experience in RESTful API development in Python.

● Understanding of Python web application frameworks such as Flask or Django.

● Experience with Cloud services, such as AWS.

● Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud

Run/GKE, storage).

● Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).

● Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and

multilingual retrieval.

● Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses),

prompt/version management.

● Frontend integration (basic React/Next.js) or platform enablement (internal developer

tooling).


Salary: $65000- $80000

Candidates must be open to relocation within the United States (e.g., CA, TX, NY).