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Rust Programming Language Jobs in Pennsylvania (NOW HIRING)

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How much do rust programming language jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for rust programming language in Pennsylvania is $31.03, according to ZipRecruiter salary data. Most workers in this role earn between $25.53 and $34.95 per hour, depending on experience, location, and employer.

What types of projects or products do Rust developers commonly work on?

Rust developers are often involved in building high-performance, safe, and reliable software such as systems libraries, web servers, cloud computing infrastructure, embedded systems, and developer tools. Many teams leverage Rust for projects where safety and speed are top priorities, including blockchain applications, operating system components, and networking tools. While some work is independent, collaboration with front-end teams, DevOps, and QA engineers is common to ensure seamless integration and robust performance. Joining a Rust development team provides an opportunity to tackle challenging problems, influence key architectural decisions, and contribute to open-source ecosystems.

What is a Rust programming language?

A Rust Programming Language job involves developing software using Rust, a systems programming language known for its speed, memory safety, and concurrency. These roles often focus on performance-critical applications like operating systems, web services, game engines, and blockchain technologies. Rust developers work on writing efficient, safe, and maintainable code while leveraging Rust’s unique features, such as ownership and borrow checking. Many Rust jobs are in backend development, embedded systems, and high-performance computing.

What are the key skills and qualifications needed to thrive in the Rust programming language position, and why are they important?

To thrive in a Rust Programming Language developer role, you need strong proficiency in systems programming, memory management, concurrency, and the Rust language itself, usually demonstrated through a degree in computer science or relevant experience. Familiarity with tools like Cargo, Git, and Rust’s package ecosystem, as well as experience with continuous integration systems, is highly valued. Analytical thinking, problem-solving skills, and the ability to communicate complex technical concepts clearly are key soft skills for this position. These competencies are essential for building reliable, efficient software and collaborating effectively with other engineers on complex projects.

What job categories do people searching Rust Programming Language jobs in Pennsylvania look for? The top searched job categories for Rust Programming Language jobs in Pennsylvania are:
Rust Programming Language jobs near you
Infographic showing various Rust Programming Language job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 1% Temporary, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $64,544 per year, or $31 per hour.

Generative AI Engineer- Philadelphia, PA

QTech US Inc

Philadelphia, PA • On-site

Other

Posted 3 days ago

New

Job description

Job Title: Generative AI Engineer
Location: Philadelphia, PA - Hybrid
Looking for W2 candidates. No C2C

Job Summary:
Philadelphia Gas Works (PGW) is seeking an experienced Generative AI Engineer / On-Prem LLM & Vector Database Consultant to design, deploy, and optimize an enterprise-grade on-premises Large Language Model (LLM) and Vector Database solution in a secure environment. The ideal candidate will possess strong expertise in open-source LLM deployment, Retrieval-Augmented Generation (RAG), vector databases, semantic search, and enterprise AI infrastructure while ensuring data privacy, security, and high-performance inference in private or air-gapped environments.
Key Responsibilities:
Design and implement an on-premises LLM architecture for secure enterprise AI applications.
Deploy and optimize open-source LLMs including Meta Llama 3, Mistral, and Mixtral.
Build and implement Retrieval-Augmented Generation (RAG) pipelines.
Design, configure, and manage Vector Database solutions for semantic search.
Develop Python-based LLM inference, orchestration, prompt engineering, and integrations.
Optimize model performance using CPU inference, model quantization, and inference tuning.
Generate and manage embeddings, metadata filtering, and semantic search workflows.
Implement enterprise-grade authentication, authorization, access controls, and audit logging.
Ensure compliance with secure, private, and air-gapped deployment requirements.
Deliver deployment architecture, technical documentation, and knowledge transfer sessions.
Build a working prototype integrating LLM + Vector Database + RAG Pipeline.
Collaborate with engineering teams to deploy scalable AI infrastructure.
Required Skills:
Strong experience deploying Open-Source LLMs (Meta Llama 3, Mistral, Mixtral).
Proficient in Python, Prompt Engineering, LLM Inference, Model Orchestration, and AI Integration.
Experience with CPU-based inference, Model Quantization, and performance optimization.
Hands-on experience with Vector Databases (Qdrant, Chroma, Milvus, pgvector).
Proven expertise in building Retrieval-Augmented Generation (RAG) pipelines.
Experience with Embeddings, Metadata Filtering, and Semantic Search.
Strong knowledge of Enterprise Security, Data Privacy, and Air-Gapped Deployments.
Experience implementing Authentication, Authorization, Access Controls, and Audit Logging.
Preferred Qualifications:
Experience with LangChain and/or LlamaIndex.
Knowledge of Rust, Go, or C++.
Experience with Docker and Kubernetes for on-prem deployments.
Familiarity with inference frameworks:
o vLLM
o llama.cpp
o Hugging Face Transformers
Experience working in regulated or enterprise environments.
Experience designing enterprise AI reference architectures.
Best Regards:
Tejaswani R.
Phone: +1-
Email:

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