Senior Software Engineer, IT Software Engineering
Role details
Job location
Tech stack
Requirements
This is a mid-level software engineering role for someone who is strong in core engineering fundamentals and excited to build practical AI-powered systems., You do not need to be an expert in every part of the AI stack on day one, but you should be curious, technically strong, and motivated to grow., * 3-7 years of professional software engineering experience.
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Bachelor's degree in Computer Science , Computer Information Systems, Business Information Systems, a related technical field, or equivalent practical experience.
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Strong experience with one or more modern programming languages, such as:
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Python
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JavaScript / TypeScript
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SQL
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Similar modern development platforms
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Experience building production applications, APIs, integrations, backend services, workflow logic, or similar software components.
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Familiarity with LLM-powered systems, such as:
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RAG
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Chatbots
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Agent workflows
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Tool use
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Prompt engineering
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AI-enabled application development
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Strong software engineering fundamentals, including:
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Clean code
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Source control
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Unit testing
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CI/CD
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Refactoring
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Design patterns
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Maintainability
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Working experience with SQL for data inspection, analysis, troubleshooting, or integration.
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Ability to read application logs, traces, and telemetry to investigate issues and identify root causes.
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Strong problem-solving skills.
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Clear communication skills with technical and non-technical audiences.
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Comfort working in ambiguous, fast-moving environments.
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Curiosity, ownership, and the ability to learn new technologies quickly.
Preferred Qualifications
Experience with one or more of the following is helpful, but not required :
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Building or contributing to AI/LLM-based systems
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RAG pipelines
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Chatbots or conversational AI products
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Agentic applications
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Prompt strategies
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Tool-calling workflows
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Agent orchestration
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Durable workflows or platforms such as Temporal
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Model Context Protocol, function calling, or enterprise tool integrations
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REST APIs, service-oriented architectures, or event-driven systems
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Azure, Azure AI Foundry, Azure DevOps, or related Microsoft cloud tools
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Salesforce or other enterprise platforms
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Observability tools such as Langfuse , New Relic, OpenTelemetry , or similar platforms
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AI-powered development tools such as Cursor, Claude Code, GitHub Copilot, or similar tools
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Technical documentation, diagrams, decision records, or design notes
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Working with quality engineers, SDETs, operations engineers, support teams, and product owners