Note: The job is a remote job and is open to candidates in USA. Trace3 is a transformative IT authority providing technology solutions and consulting services to help organizations integrate, automate, and innovate. The Software Engineer | AI & Automation designs, builds, integrates, and deploys production software solutions using artificial intelligence, APIs, enterprise integrations, AI agents, copilots, and intelligent workflows. The role supports the full engineering lifecycle across business functions, primarily within the Microsoft Azure ecosystem.
Responsibilities
- 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 Trace3 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
Skills
- • 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
- • 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
Benefits
- Comprehensive medical, dental and vision plans for you and your dependents
- 401(k) Retirement Plan with Employer Match
- 529 College Savings Plan
- Health Savings Account
- Life Insurance
- Long-Term Disability
- Training and development programs
- Major offices stocked with snacks and beverages
- Collaborative and cool culture
- Work-life balance and generous paid time off
- Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base salary.
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