Senior Software Engineer, IT Software Engineering

You will work on:

• AI-powered applications and agents

• Retrieval-augmented generation or RAG pipelines

• Agent workflows and orchestration

• Prompt strategies and tool integrations

• Secure integrations with enterprise systems

• Observability testing and production reliability

• AI-assisted software development using tools such as Cursor Claude Code or similar platforms

We are looking for engineers who:

• Move quickly

• Take ownership

• Learn fast

• Communicate clearly

• Care about quality

• Build secure maintainable software

• Are excited to work in a fast-moving AI environment

Required Qualifications

• 3-7 years of professional software engineering experience.

• Bachelors degree in Computer Science Computer Information Systems Business Information Systems a related technical field or equivalent practical experience.

• Strong experience with one or more modern programming languages such as:

• Python

• JavaScript / TypeScript

• SQL

• Similar modern development platforms

• Experience building production applications APIs integrations backend services workflow logic or similar software components.

• Familiarity with LLM-powered systems such as:

• RAG

• Chatbots

• Agent workflows

• Tool use

• Prompt engineering

• AI-enabled application development

• Strong software engineering fundamentals including:

• Clean code

• Source control

• Unit testing

• CI/CD

• Refactoring

• Design patterns

• Maintainability

• Working experience with SQL for data inspection analysis troubleshooting or integration.

• Ability to read application logs traces and telemetry to investigate issues andidentifyroot causes.

• Strong problem-solving skills.

• Clear communication skills with technical and non-technical audiences.

• Comfort working in ambiguous fast-moving environments.

• Curiosity ownership and the ability to learnnew technologiesquickly.

Preferred Qualifications

Experience with one or more of the following is helpful but not:

• Building or contributing to AI/LLM-based systems

• RAG pipelines

• Chatbots or conversational AI products

• Agentic applications

• Prompt strategies

• Tool-calling workflows

• Agent orchestration

• Durable workflows or platforms such as Temporal

• Model Context Protocol function calling or enterprise tool integrations

• REST APIs service-oriented architectures or event-driven systems

• Azure Azure AI Foundry Azure DevOps or related Microsoft cloud tools

• Salesforce or other enterprise platforms

• Observability tools such asLangfuse New RelicOpenTelemetry or similar platforms

• AI-powered development tools such as Cursor Claude Code GitHub Copilot or similar tools

• Technical documentation diagrams decision records or design notes

• Working with quality engineers SDETs operations engineers support teams and product owners

What Success Looks Like

You will be successful in this role if you:

• Turn ambiguous business needs into simple working software.

• Use AI-assisted development tools to move faster without sacrificing quality.

• Build AI systems that are observable testable and reliable enough for production use.

• Care aboutretrievalquality prompt behavior tool accuracy user experience and measurable business outcomes.

• Learnunfamiliar systems quickly.

• Communicate clearly and ask good questions.

• Makepracticaltechnical recommendations.

• Take ownership fromideathrough design implementation deployment monitoring and improvement.

• Help the team improve how it builds testsoperates and evolves enterprise AI software.