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Software Engineer React Typescript Jobs in Leesburg, FL

Shoot Straight Warehouse

Web Developer

Apopka, FL · On-site

This is a varied role combining software development with operational and administrative ... JavaScript frameworks (React, Svelte, Angular) * Scripting languages (PHP, Python) Preferred ...

R+L Carriers, Inc.

Technical Project Manager

Ocala, FL · On-site

$90 - $140/hr

The position reports to the Software Engineering Manager. This position is located at our ... NET Core/C#, ASP.NET, and React-based application stacks. * Familiarity with GitHub, GitHub Actions ...

All JobsSoftware Engineer React Typescript JobsSoftware Engineer React Typescript Jobs in Leesburg, FL

Software Engineer React Typescript information

See Leesburg, FL salary details

$54.5K

$126.6K

$176.3K

How much do software engineer react typescript jobs pay per year?

As of Aug 29, 2026, the average yearly pay for software engineer react typescript in Leesburg, FL is $126,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $148,400.00 per year, depending on experience, location, and employer.

What does a software engineer specializing in React and TypeScript do?

A Software Engineer specializing in React and TypeScript is responsible for designing, developing, and maintaining web applications using the React JavaScript library and the TypeScript programming language. They build user interfaces that are interactive, efficient, and scalable, often working closely with designers and backend developers to integrate APIs and ensure a seamless user experience. Their expertise in React helps create dynamic front-end components, while TypeScript adds static typing to JavaScript, reducing bugs and improving code quality. This role also involves code reviews, testing, and keeping up with the latest trends in front-end development.

What are some common challenges faced by software engineers working with React and TypeScript, and how can they be addressed?

Software Engineers using React with TypeScript often encounter challenges such as managing complex type definitions, integrating third-party libraries that may not have robust TypeScript support, and ensuring type safety in rapidly evolving codebases. To address these, engineers should leverage TypeScript's utility types, adopt strict linting rules, and contribute to or use community-maintained type definitions. Collaborating closely with team members through code reviews and shared documentation also helps maintain consistent coding standards and reduces the risk of type-related bugs.

What are the key skills and qualifications needed to thrive as a software engineer specializing in React and TypeScript, and why are they important?

To thrive as a Software Engineer specializing in React and TypeScript, you need strong proficiency in JavaScript/TypeScript, React framework, and sound understanding of web development principles, typically supported by a degree in computer science or related experience. Familiarity with version control systems like Git, package managers (npm/yarn), and development tools such as VS Code and testing frameworks (Jest, React Testing Library) is essential. Excellent problem-solving abilities, attention to detail, and effective communication make someone stand out in this role. These skills and qualities are vital for building robust, maintainable, and scalable web applications in dynamic team environments.

What is the difference between Software Engineer React Typescript vs Frontend Developer React Typescript?

AspectSoftware Engineer React TypescriptFrontend Developer React Typescript
Primary FocusDesigning, developing, and maintaining software applications with a focus on architecture and system integrationImplementing user interfaces and visual elements primarily using React and Typescript
Required SkillsProficiency in React, Typescript, software architecture, and coding best practicesStrong React and Typescript skills, UI/UX design, and frontend development
Work EnvironmentCollaborates across teams, involved in full software development lifecyclePrimarily focused on frontend code, working closely with designers and backend developers

While both roles require React and Typescript expertise, Software Engineer React Typescript typically involves broader responsibilities including system design and architecture, whereas Frontend Developer React Typescript concentrates on building and implementing user interfaces. The choice depends on whether you prefer a more comprehensive engineering role or specialized frontend development.

What cities near Leesburg, FL are hiring for Software Engineer React Typescript jobs?

Cities near Leesburg, FL with the most Software Engineer React Typescript job openings:

Software Engineer React Typescript jobs near you
Infographic showing various Software Engineer React Typescript job openings in Leesburg, FL as of June 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $126,584 per year, or $60.9 per hour.

AI & GEO Solutions Engineer

Winter Garden, FL • On-site

SNI Technology
Recruiting and Staffing Services • 201 - 500 employees
Learn more about SNI Technologyexternal

$130K - $140K/yr

Other

Re-posted 16 days ago

Job description

AI Solutions Engineer / AI Applications Developer
Location: Onsite in Orlando
Pay Range: $130,000-$140,000
Please Note: NO C2C, Agency referrals or sponsorship available
Position Overview:
This role is responsible for designing, developing, and supporting AI-enabled capabilities across web platforms, e-commerce systems, and enterprise applications. The position partners closely with cross-functional teams to enhance AI-driven discoverability, user engagement, and business workflows while ensuring responsible and scalable AI implementation.
Key Responsibilities
  • Analyze, design, develop, test, deploy, and document AI-powered enhancements across websites, e-commerce platforms, intranet applications, APIs, and enterprise systems
  • Support Generative Engine Optimization (GEO) initiatives to improve AI model discoverability, AI-generated brand visibility, and semantic search performance
  • Collaborate with Web, Marketing, Product, Content, SEO/GEO, and Technology teams to optimize structured content, metadata, schema markup, and AI-readable content frameworks
  • Evaluate, configure, integrate, and maintain third-party AI platforms, LLM-based systems, APIs, chatbot tools, knowledge bases, vector search solutions, and workflow automation technologies
  • Design and support AI-driven engagement solutions such as intelligent search, AI assistants, recommendation engines, conversational interfaces, and knowledge retrieval systems
  • Implement and support structured data frameworks including schema standards, embeddings, retrieval-augmented generation (RAG), vector databases, and semantic search architectures
  • Translate business objectives into technical requirements, implementation plans, testing strategies, documentation, and development-ready tasks
  • Act as a liaison between business stakeholders and technical teams for AI initiatives, including requirements gathering, workflow design, testing coordination, and deployment
  • Monitor competitive AI presence, AI-search trends, and evolving AI discovery and commerce strategies
  • Assess AI tools for privacy, security, performance, hallucination risks, data governance, and operational considerations prior to implementation
  • Support enterprise AI governance initiatives, including data stewardship, approval workflows, and responsible AI standards
  • Research emerging AI technologies, platforms, and industry trends relevant to digital commerce, customer engagement, and enterprise operations
  • Drive measurable improvements in AI visibility, semantic discoverability, workflow automation, and AI-assisted user experience

Required Skills & Competencies
  • Strong analytical, problem-solving, and organizational skills
  • Excellent communication skills with the ability to translate technical concepts into business language
  • Ability to work both independently and collaboratively in cross-functional environments
  • Strong project management and prioritization capabilities in fast-paced settings

AI & Technical Knowledge
  • Solid understanding of:
  • Large Language Models (LLMs)
  • Prompt engineering
  • Retrieval-Augmented Generation (RAG)
  • Embeddings and vector search
  • Semantic search and AI orchestration workflows
  • AI testing and evaluation frameworks
  • Knowledge of:
  • Generative Engine Optimization (GEO) and technical SEO
  • Semantic web architecture and structured content optimization
  • AI governance, privacy, security, bias mitigation, and responsible AI practices

Technology Familiarity
Experience with or exposure to tools and platforms such as:
  • OpenAI, Anthropic, Google Gemini
  • AWS Bedrock, Azure AI, Vertex AI
  • LangChain, LlamaIndex
  • Vector databases (e.g., Pinecone, Weaviate)

Nice to have: Experience with enterprise ERP or commerce platforms and integrations
Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, or a related field
  • 5+ years of experience developing or supporting enterprise web applications, APIs, or business systems
  • 2+ years of hands-on experience working with AI tools, LLM systems, AI APIs, or automation platforms
  • 5+ years of experience integrating third-party systems using REST APIs, SDKs, and modern integration frameworks
  • Experience with modern web technologies such as JavaScript, TypeScript, HTML/CSS, front-end frameworks, and back-end development (e.g., Java, C#, .NET, Node.js)
  • Experience with relational databases, SQL, and enterprise data models

Preferred Experience
  • Hands-on experience with:
  • AI integrations and workflows
  • Semantic search and vector databases
  • Chatbots and conversational AI
  • Knowledge retrieval systems and AI orchestration pipelines
  • Familiarity with:
  • Structured data and schema markup
  • AI indexing, semantic architecture, and SEO/GEO concepts
  • Cloud deployment, monitoring, and enterprise application support tools (e.g., Git, Jira, Postman)

Additional Requirements
  • Proven ability to gather requirements, identify gaps, and translate business needs into actionable plans
  • Strong collaboration skills across technical teams, business stakeholders, and external partners
  • Awareness of AI privacy, compliance, security, and risk management considerations
  • Ability to stay current with rapidly evolving AI technologies and industry trends
  • Comfortable working in dynamic environments with shifting priorities and emerging technologies
#SNIT

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