Sr Full Stack AI Engineer

Job description

Key Skills & Experience

Strong software engineering expertise in .NET and/or Python , with experience building and operating production-grade microservices and REST APIs Experience delivering full stack solutions, including frontend development using modern frameworks such as React, Next.js, and Node.js AI & Agent Engineering: Hands-on experience or strong exposure to building intelligent systems leveraging LLM APIs and agent orchestration frameworks such as LangGraph .

Ability to design and implement multi-agent workflows, manage tool integrations, and build conversational AI capabilities. Familiarity with prompt engineering, evaluation frameworks, and observability tooling (e.g., Langfuse, HoneyHive ) to monitor, assess, and continuously improve AI system performance, reliability, and explainability in production environments. Solid experience with cloud-native architectures on AWS, including containerised environments using Kubernetes and Docker Data Consumption Literacy: Strong capability to consume and integrate data from distributed and producer-led data platforms, including event streaming systems ( Kafka ), cloud-native storage formats ( S3/Iceberg ), and NoSQL databases such as DynamoDB .

Ability to work with well-defined data contracts, ensure data quality and consistency, and design clean, decoupled integration patterns that support scalable and maintainable platform features.

• Proven experience building and managing CI/CD pipelines using GitHub Actions and deployment tools such as ArgoCD , with comprehensive automated testing practices
• Strong observability experience using tools such as Grafana, Prometheus , and enterprise monitoring platforms, including alerting and incident response integration
• Strong understanding of secure coding practices, including identity and access management (OIDC, RBAC), secrets management, encryption, and operating within regulated environments Well-developed architectural thinking, with the ability to break down complex problems and deliver modular, scalable, and maintainable solutions Collaborative and growth-oriented mindset, with active participation in code reviews, knowledge sharing, and continuous capability uplift </ul