Top 15430 Software engineer e Jobs

AI & GEO Solutions Engineer
SNI Companies —Winter Garden, FL
- $130,000 - $140,000 a year
- Computer Science
- Research
- Mid-level
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Specialist, DevSecOps Cloud Software Engineer
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Denken Solutions, Inc. —Foster City, MI
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Specialist Software Engineer
L3Harris Technologies —Northampton, MA
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Software Engineer - AI
Zebra Technologies —Lincolnshire, IL
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Twilio —Remote
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Counterpart Health —Remote
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Embedded Software Engineer III/IV - Remote
Zone 5 Technologies —Remote
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Software Engineer, E-commerce - USDS
TikTok USDS JV —San Jose, CA
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Twilio —Remote
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Twilio —Remote
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Skillable —Remote
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- 7 years
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Software Engineer (L2)
Twilio —Remote
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Senior Software Engineer
Newrich Network —Austin, TX
- Full-time
- Remote
- English
- Mentoring
- Senior level
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AI Product Engineer
Guidewire Software —Remote
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AI & GEO Solutions Engineer

SNI Companies -
Winter Garden, FL

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Job Details

$130,000 - $140,000 a year

Qualifications

AI models
Data model design
Systems integration
Data compliance
Requirements specification
Engineering development testing
Requirements design
Data modeling projects
Generative models
Enterprise solutions implementation
Research
Schema design
Technology security practices
Enterprise software systems development
Prompt engineering
SQL
Machine intelligence
Bachelor's degree
SDKs
Semantic Web
Integration with Third-Party Services (system development)
Front-end component implementation
Back-end integration
Analysis (software development lifecycle)
Technical architecture
Generative AI
Cross-functional communication
Technical SEO projects
IT risk management

Full 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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