Senior Software Engineer

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. 

• Bachelor’s 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 and identify root 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 learn new technologies quickly. 

Preferred Qualifications 

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

• 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 as Langfuse, New Relic, OpenTelemetry, 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 about retrieval quality, prompt behavior, tool accuracy, user experience, and measurable business outcomes. 

• Learn unfamiliar systems quickly. 

• Communicate clearly and ask good questions. 

• Make practical technical recommendations. 

• Take ownership from idea through design, implementation, deployment, monitoring, and improvement. 

• Help the team improve how it builds, tests, operates, and evolves enterprise AI software.