Senior Software Engineer

Role overview

What you'll do

• Build customer-facing features and platform services using AI models, agent frameworks, vector search, and RAG.
• Evaluate AI technologies and establish practices for reliable, secure, observable AI applications.
• Own the software lifecycle in a 24x7 SaaS environment, including REST APIs, event-driven services, and cloud integrations.
• Resolve production issues and improve scalability, reliability, and performance.
• Use AI-assisted development and automation to improve engineering productivity.
• Shape AI safety and governance standards; mentor engineers and contribute to technical direction.
• Collaborate across product, architecture, data, and security teams and communicate technical tradeoffs.

What you bring

• 7+ years of professional software engineering experience, including production work with Node.js, TypeScript, and Python.
• Experience designing, building, and operating production SaaS applications, RESTful APIs, and cloud platforms such as Azure, AWS, or GCP.
• Ability to lead technical initiatives from design through deployment.
• Working knowledge of software architecture, distributed systems, security, observability, and reliability.
• Daily use of modern AI development tools and experience integrating LLMs through APIs.
• Familiarity with agent frameworks, prompt engineering, retrieval patterns, and evaluation techniques.
• Experience in Agile software development environments.

Nice to have

• Microsoft .NET and C#; React and modern frontend development; Azure AI services.
• Event-driven architectures, Kafka, messaging, workflow orchestration, vector databases, embeddings, RAG, or AI agent platforms.
• Enterprise automation, integration, ERP, or document-processing solutions; Docker and Kubernetes.

About Conexiom