Software Engineer | AI & Automation
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Job summary
•••••• is seeking a Software Engineer | AI & Automation to design, build, and deploy production software solutions that leverage AI to automate business processes across the organization.
The role focuses on building AI-enabled applications, agents, copilots, and intelligent workflows, with production-grade APIs, enterprise integrations, and CI/CD in the Microsoft Azure ecosystem. You’ll influence across leadership, Sales, Operations, Legal, and IT functions.
Qualifications
- Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field, or equivalent professional experience.
- Minimum 4 years of professional software engineering or application development experience.
- Strong programming skills, with Python preferred.
- Experience building APIs, backend services, integrations, or business applications.
- Experience integrating applications with databases, SaaS platforms, APIs, or enterprise systems.
- Understanding of modern software engineering practices including testing, source control, logging, error handling, authentication, and application security.
- Experience building and deploying applications within a major cloud platform; Microsoft Azure preferred.
- Hands-on experience developing applications using large language models or generative AI technologies.
- Understanding of LLM concepts including prompting, RAG, structured outputs, embeddings, semantic retrieval, and tool/function calling.
- Experience or demonstrated knowledge building AI agents, copilots, intelligent workflows, or AI-enabled automation.
Responsibilities
- Design, develop, test, and maintain production software applications and services.
- Build backend services, APIs, integrations, and reusable components, primarily using Python.
- Translate business requirements into scalable technical solutions.
- Develop software with testing, logging, and security best practices.
- Build components and patterns reusable across applications and automation use cases.
- Design and build AI-powered applications, agents, copilots, and intelligent workflows.
- Integrate LLMs into applications using cloud-hosted/open-source models.
- Create workflows that call tools and APIs for controlled business actions.
Skills
Education
Tools
Job description
Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud.
•••••• is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate.
Our culture at •••••• embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it!
•••••• is headquartered in Irvine, California. We employ more than 1,200 people all over the United States. Our major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, San Francisco.
We are flexible and resilient in a fast-changing environment. We continuously innovate and drive constructive change while keeping a focus on the “big picture.” We exercise sound business judgment in making high-quality decisions in a timely and cost-effective manner. We are highly creative and can dig deep within ourselves to find positive solutions to different problems.
We get things done and drive results. We lead without a title, empowering others through a can-do attitude. We look forward to the goal, mentallymapping outevery checkpoint on the pathway to success, and visualizing what the final destination looks and feels like.
We are humble individuals who understand how our job impacts the company's mission. We treat others with respect, admit mistakes, give credit where it’s due and demonstrate transparency. We “bring the weather” by exhibiting positive leadership and solution-focused thinking. We hug people in their trials, struggles, and failures – not just their success. We appreciate the individuality of the people around us.
The Software Engineer | AI & Automation is responsible for designing, building, integrating, and deploying software solutions that use artificial intelligence to automate business processes and improve how employees work across the organization.
This is a software engineering role with a specialization in AI, focused on building production applications, APIs, enterprise integrations, AI agents, copilots, and intelligent workflows. The role will initially support AI initiatives across executive leadership, Sales, Operations, Legal, IT, and other business functions.
The ideal candidate is a strong software engineer with hands‑on experience using modern large language models (LLMs) and AI technologies to solve real business problems. This role works across the full engineering lifecycle—from translating business requirements into technical solutions through development, deployment, monitoring, and continuous improvement.
•••••• primarily operates within the Microsoft Azure ecosystem.
- Design, develop, test, and maintain production software applications and services.
- Build backend services, APIs, integrations, and reusable application components, primarily using Python.
- Translate business requirements into practical and scalable technical solutions.
- Develop reliable software using sound engineering practices including testing, source control, logging, error handling, authentication, and security.
- Build reusable components and patterns that can support multiple applications and automation use cases.
- Design and build AI-powered applications, agents, copilots, and intelligent workflows.
- Integrate large language models into applications using cloud-hosted, commercial, or open‑source models.
- Build workflows that allow AI applications to retrieve information, call tools and APIs, and perform controlled business actions.
- Develop solutions using concepts such as RAG, prompting, structured outputs, embeddings, semantic search, and tool/function calling.
- Evaluate and improve AI application accuracy, reliability, performance, and cost.
- Implement appropriate validation, guardrails, fallback behavior, and human oversight where needed.
- Integrate applications with enterprise platforms such as Microsoft 365, ServiceNow, NetSuite, databases, internal systems, and third‑party SaaS platforms.
- Develop APIs, connectors, webhooks, and automated workflows.
- Work with structured and unstructured data to support applications and AI solutions.
- Identify opportunities where software, automation, and AI can reduce manual business processes.
- Design integrations and services that can be reused across multiple business functions.
- Build and deploy applications primarily within Microsoft Azure.
- Participate in application deployment, CI/CD, testing, monitoring, and release processes.
- Monitor and troubleshoot production applications and integrations.
- Build solutions with appropriate consideration for scalability, reliability, security, and cost.
- Ensure applications and AI solutions align with •••••• security, privacy, governance, and data protection standards.
- Implement appropriate controls around access to enterprise data and actions performed by AI-enabled applications.
- Partner with AI leadership to evaluate risks, guardrails, and new AI capabilities before deployment.
- Partner with AI leadership and business stakeholders to translate business problems into technical solutions.
- Prototype and evaluate new ideas while helping successful concepts move into production.
- Communicate technical concepts and tradeoffs to both technical and nontechnical stakeholders.
- Contribute to shared engineering standards, reusable components, and development best practices.
- Evaluate emerging AI technologies based on their practical value to the organization.
- Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field, or equivalent professional experience.
- Minimum4 years of professional software engineering or application development experience.
- Strong programming skills, withPython preferred.
- Experience building APIs, backend services, integrations, or business applications.
- Experience integrating applications with databases, SaaS platforms, APIs, or enterprise systems.
- Understanding of modern software engineering practices including testing, source control, logging, error handling, authentication, and application security.
- Experience building and deploying applications within a major cloud platform;Microsoft Azure preferred.
- Hands‑on experience developing applications using large language models or generative AI technologies.
- Understanding of LLM concepts including prompting, RAG, structured outputs, embeddings, semantic retrieval, and tool/function calling.
- Experience or demonstrated knowledge building AI agents, copilots, intelligent workflows, or AI-enabled automation.
- Strong debugging, analytical, and problem‑solving skills.
- Ability to translate evolving or ambiguous business requirements into practical technical solutions.
- Ability to work independently while collaborating effectively with technical and business teams.
- Ability to communicate technical concepts clearly to both technical and nontechnical audiences.
- Azure OpenAI or Azure AI services.
- Agentic AI and multi-step tool‑calling workflows.
- Model Context Protocol (MCP) or similar AI integration standards.
- Containers, serverless applications, and CI/CD practices.
- Open‑source LLMs or multi‑model architectures.
- Experience moving AI prototypes or proofs of concept into production applications.
- OpenAI, Anthropic, or other commercial LLM APIs.
- Semantic Kernel, LangGraph, LangChain, or similar AI orchestration frameworks.
- Microsoft 365 or Microsoft Graph integrations.
- ServiceNow, NetSuite, or similar enterprise platforms.
- Vector databases and enterprise search technologies.
- AI application evaluation and observability.
Who is •••••• ?
•••••• is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate.
Our culture at •••••• embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it!
•••••• is headquartered in Irvine, California. We employ more than 1,200 people all over the United States. Our major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, San Francisco.
We are flexible and resilient in a fast-changing environment. We continuously innovate and drive constructive change while keeping a focus on the “big picture.” We exercise sound business judgment in making high-quality decisions in a timely and cost-effective manner. We are highly creative and can dig deep within ourselves to find positive solutions to different problems.
We get things done and drive results. We lead without a title, empowering others through a can‑do attitude. We look forward to the goal, mentallymapping outevery checkpoint on the pathway to success, and visualizing what the final destination looks and feels like.
We are humble individuals who understand how our job impacts the company's mission. We treat others with respect, admit mistakes, give credit where it’s due and demonstrate transparency. We “bring the weather” by exhibiting positive leadership and solution-focused thinking. We hug people in their trials, struggles, and failures – not just their success. We appreciate the individuality of the people around us.
The Software Engineer | AI & Automation is responsible for designing, building, integrating, and deploying software solutions that use artificial intelligence to automate business processes and improve how employees work across the organization.
This is a software engineering role with a specialization in AI, focused on building production applications, APIs, enterprise integrations, AI agents, copilots, and intelligent workflows. The role will initially support AI initiatives across executive leadership, Sales, Operations, Legal, IT, and other business functions.
The ideal candidate is a strong software engineer with hands‑on experience using modern large language models (LLMs) and AI technologies to solve real business problems. This role works across the full engineering lifecycle—from translating business requirements into technical solutions through development, deployment, monitoring, and continuous improvement.
•••••• primarily operates within the Microsoft Azure ecosystem.
- Design, develop, test, and maintain production software applications and services.
- Build backend services, APIs, integrations, and reusable application components, primarily using Python.
- Translate business requirements into practical and scalable technical solutions.
- Develop reliable software using sound engineering practices including testing, source control, logging, error handling, authentication, and security.
- Build reusable components and patterns that can support multiple applications and automation use cases.
- Design and build AI-powered applications, agents, copilots, and intelligent workflows.
- Integrate large language models into applications using cloud-hosted, commercial, or open‑source models.
- Build workflows that allow AI applications to retrieve information, call tools and APIs, and perform controlled business actions.
- Develop solutions using concepts such as RAG, prompting, structured outputs, embeddings, semantic search, and tool/function calling.
- Evaluate and improve AI application accuracy, reliability, performance, and cost.
- Implement appropriate validation, guardrails, fallback behavior, and human oversight where needed.
- Integrate applications with enterprise platforms such as Microsoft 365, ServiceNow, NetSuite, databases, internal systems, and third‑party SaaS platforms.
- Develop APIs, connectors, webhooks, and automated workflows.
- Work with structured and unstructured data to support applications and AI solutions.
- Identify opportunities where software, automation, and AI can reduce manual business processes.
- Design integrations and services that can be reused across multiple business functions.
- Build and deploy applications primarily within Microsoft Azure.
- Participate in application deployment, CI/CD, testing, monitoring, and release processes.
- Monitor and troubleshoot production applications and integrations.
- Build solutions with appropriate consideration for scalability, reliability, security, and cost.
- Ensure applications and AI solutions align with •••••• security, privacy, governance, and data protection standards.
- Implement appropriate controls around access to enterprise data and actions performed by AI-enabled applications.
- Partner with AI leadership to evaluate risks, guardrails, and new AI capabilities before deployment.
- Partner with AI leadership and business stakeholders to translate business problems into technical solutions.
- Prototype and evaluate new ideas while helping successful concepts move into production.
- Communicate technical concepts and tradeoffs to both technical and nontechnical stakeholders.
- Contribute to shared engineering standards, reusable components, and development best practices.
- Evaluate emerging AI technologies based on their practical value to the organization.
- Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field,
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