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Net Developer Full Stack Developer Jobs in Rialto, CA

RAVE Aerospace LLC

AI Developer

Brea, CA · On-site

Working across the full technology stack, the AI Developer will leverage large language models and AI coding agents as core components of the development process to deliver reliable, high-impact ...

RAVE Aerospace LLC

AI Developer

Brea, CA · On-site

Working across the full technology stack, the AI Developer will leverage large language models and AI coding agents as core components of the development process to deliver reliable, high-impact ...

Esri

Sr. Web Developer - AEC Integration

Redlands, CA · On-site

$123K - $202K/yr

Scalable full-stack software engineering experience * Awareness of Autodesk Platform Services, ObjectArx, or Revit APIs * Awareness of ArcGIS web application development * Familiarity with TypeScript ...

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How much do net developer full stack developer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for net developer full stack developer in Rialto, CA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $49.66 and $62.69 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Net Developer Full Stack Developer, and why are they important?

To thrive as a .NET Full Stack Developer, you need expertise in C#, ASP.NET, front-end technologies (like HTML, CSS, JavaScript), and a relevant degree in computer science or a related field. Familiarity with frameworks such as .NET Core, Entity Framework, popular JavaScript libraries (e.g., React or Angular), and version control systems like Git is crucial, along with certifications such as Microsoft Certified: .NET Developer. Strong problem-solving, teamwork, and communication skills help you deliver effective solutions and collaborate across disciplines. These skills ensure robust, scalable application development and seamless integration between client and server components.

What is the difference between Net Developer Full Stack Developer vs Front End Developer?

AspectNet Developer Full Stack DeveloperFront End Developer
Required SkillsProficiency in .NET, C#, JavaScript, HTML, CSS, database managementExpertise in HTML, CSS, JavaScript, frameworks like React or Angular
Work EnvironmentDevelops both server-side and client-side applications, often in enterprise settingsFocuses on user interface and experience, primarily front-end design and implementation
Common UsageUsed in full-stack development projects, enterprise applicationsUsed in UI/UX design, website and web app interfaces

The main difference between a Net Developer Full Stack Developer and a Front End Developer lies in their scope of work. Full Stack Developers handle both server-side and client-side development, working on complete applications, while Front End Developers focus solely on the visual and interactive aspects of websites and applications. Your choice depends on whether you want to work across the entire technology stack or specialize in user interface design.

What is a Net Full Stack Developer?

A .NET Full Stack Developer is a software engineer who is proficient in both front-end and back-end development using Microsoft's .NET framework. They work with a variety of technologies, including C#, ASP.NET for the server side, and HTML, CSS, JavaScript, and popular frameworks like Angular or React for the client side. Their responsibilities typically include designing, developing, and maintaining web applications, integrating databases, and ensuring the overall performance and responsiveness of applications. They play a crucial role in bridging the gap between the user experience and server-side logic.

What are some common challenges faced by Full Stack .NET Developers when working on cross-functional teams?

Full Stack .NET Developers often collaborate with UI/UX designers, backend engineers, and QA testers, which can present challenges such as aligning on project requirements, integrating different technology stacks, and maintaining clear communication across disciplines. Balancing front-end and back-end tasks while ensuring consistent code quality and meeting tight deadlines requires strong organizational and interpersonal skills. However, these collaborations also offer the opportunity to learn from other specialties and contribute to end-to-end project solutions, making the role both dynamic and rewarding.
What cities near Rialto, CA are hiring for Net Developer Full Stack Developer jobs? Cities near Rialto, CA with the most Net Developer Full Stack Developer job openings:
Net Developer Full Stack Developer jobs near you

AI Developer

RAVE Aerospace LLC

Brea, CA • On-site

Full-time

Medical, Retirement, PTO

Posted 22 days ago

Job description

RAVE Aerospace is redefining the in-flight experience through innovative entertainment and connectivity solutions trusted by airlines around the world. We combine advanced hardware, intelligent software, and connected digital platforms to help airlines create more engaging, seamless, and reliable passenger experiences. As the future of air travel evolves, RAVE is building the technology that keeps passengers connected from takeoff to landing.
We are seeking an experienced AI Developer to design, build, and scale production AI applications and autonomous agents on a modern, self-hosted platform. This role will play a key part in shaping the architecture, tooling, and engineering standards that power AI capabilities across the organization. Working across the full technology stack, the AI Developer will leverage large language models and AI coding agents as core components of the development process to deliver reliable, high-impact solutions. This is a highly influential, hands-on engineering role focused on building practical, production-ready AI systems in a fast-moving and collaborative environment.
This individual is equally comfortable discussing architecture and implementing solutions, with a strong sense of ownership and a desire to influence platform direction, tooling decisions, and engineering best practices. They are curious, adaptable, and energized by solving complex problems while building scalable, maintainable systems. Strong collaboration and communication skills are essential, as this role partners closely with technical and cross-functional teams to bring AI capabilities into production.
Responsibilities
  • Design and implement AI-powered services, agents, and internal applications
  • Build and maintain MCP (Model Context Protocol) servers that expose enterprise systems to LLM clients
  • Develop end-to-end features - backend services, data pipelines, and user-facing UIs - using agent-assisted workflows
  • Design retrieval pipelines (chunking, embeddings, vector search) and prompt strategies
  • Integrate LLMs across managed and self-hosted runtimes, choosing the right tool for cost, latency, and privacy constraints
  • Instrument prompts and agents with traces, evals, and regression checks
  • Enforce shared platform conventions: authentication, RBAC, container networking, secrets handling
  • Mentor other engineers on applied AI patterns and on getting the most out of agentic coding tools

Requirements
Required Skills & Experience
  • 10+ years of experience in software engineering
  • 2+ years working directly with AI/ML or LLM-based applications
  • Strong software engineering fundamentals) - systems thinking, debugging, API design, data modeling
  • Production experience shipping web services and/or data products in any modern stack
  • Demonstrated fluency with AI coding agents (Claude Code, Cursor, Copilot, Aider, or similar) as part of daily work
  • Practical experience integrating LLMs into real products (any major provider)
  • Working knowledge of retrieval-augmented generation (RAG): embeddings, vector search, chunking strategies
  • Solid SQL and relational data modeling skills
  • Comfortable with containerized development (Docker / docker-compose)
  • A pragmatic approach to tests, observability, and operational quality

Preferred Experience
Hands-on experience with any of the following:
  • Model Context Protocol (MCP) - building servers and/or clients
  • Managed LLM platforms (Bedrock, Anthropic, OpenAI, Azure OpenAI)
  • Self-hosted LLM runtimes (Ollama, vLLM, llama.cpp)
  • Production vector databases (Qdrant, pgvector, Weaviate, Pinecone)
  • LLM observability and eval tooling (Langfuse, LangSmith, Phoenix, etc.)
  • Workflow orchestration (Prefect, Airflow, Dagster)
  • Modern frontend work (React or similar) for building internal tools and agent UIs
  • SSO / OIDC and role-based access control patterns
  • Prompt engineering and structured-output techniques (tool use, JSON schema, function calling)
  • Experience operating GPU workloads on Linux
  • Prior technical leadership or tech-lead experience on AI / data products

Development Environment
  • Self-hosted Linux platform with GPU acceleration for local model inference
  • Containerized services with shared internal networking
  • AI coding agents available and encouraged for day-to-day development
  • Local-first development with simple bypasses for auth and external dependencies
  • Focus on simplicity, observability, and reproducibility over framework sprawl

What We're Looking For
  • An applied AI engineer who ships - comfortable owning a feature from prompt design through production rollout
  • Someone who treats LLMs as one component in a system, not the whole system - strong fundamentals in APIs, data, and infrastructure
  • An engineer who is genuinely fluent with agentic coding tools and can demonstrate how they use them to multiply their output
  • A pragmatic builder who values evals, traces, and clear contracts over framework magic
  • A collaborator who can translate fuzzy stakeholder requests into concrete agent and application designs

Benefits
The base salary range for this position is $150,000-200,000 per year and reflects multiple levels within the role. Final level and compensation will be determined based on the candidate's skills, experience, qualifications, and internal equity.
In addition to a comprehensive package of health benefits that include company contributions, RAVE Aerospace offers a variety of additional benefits and perks to enhance your work-life balance experience including but not limited to:
  • A home allowance to elevate your home workspace
  • Discretionary bonus program
  • Future financial security with a 401(k) program with company match
  • Paid time off covering vacations, personal time off and sick days, capped off by an exciting year-end holiday shutdown
  • Embraced flexibility with our alternative work schedule (9/80) to navigate your workweeks with every other Friday off

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