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We are especially focused on integrating artificial intelligence across all aspects of our daily work—including software development, testing, and troubleshooting—to drive innovation, improve efficiency, and enhance product quality. We’re looking for enthusiastic individuals to join us as Software Developers. The ideal candidate has hands-on experience building, Testing and operating LLM-based solutions in production and designing scalable AI platforms on Kubernetes. This role combines technical capability with AI transformation leadership across DevOps, CI/CD, and enterprise engineering ecosystems.
Job Responsibility:
Development & Testing
Integration & Review
Design and scale AI-native enterprise platforms using LLMs, RAG architectures, agentic AI workflows, knowledge graphs, and persona-driven AI systems
Build and operate model serving and inference platforms on Kubernetes (e.g., KServe, Seldon, BentoML or similar)
Design ML pipelines and orchestration using Kubeflow, MLflow, Airflow, and model registries
Implement hallucination mitigation, grounding strategies, and AI evaluation frameworks
Establish AI monitoring, data drift detection, and Responsible AI governance practices
Design secure, multi-cloud AI solutions across AWS, Azure, or GCP
Drive AI roadmap planning, business case development, and executive-level technical presentations
Design Cloud Native & AI Native CI/CD pipelines using GitOps and tooling like ArgoCD, Flux, Jenkins, Tekton, GitLab CI, Spinnaker
Build highly performant and observable microserives using tools like Prometheus, Grafana, OpenTelemetry, Jaeger/Zipkin, ELK/EFK
Using databases like Cassandra, Postgres, Oracle and EDM to handle data at scale
Build AI tools that improve development, test and release productivity using Amazon Kiro, Amazon bedrock, Amazon agent core, LangChain, LangFuse and LangGraph
Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering or a related field
Proficiency in python, with a foundational understanding of operating systems
Basic knowledge of Linux as a development environment and a willingness to grow within it
Strong communication and interpersonal skills to collaborate effectively
A genuine curiosity and interest in artificial intelligence and its applications in software development and testing
Strong interest and experience working with Ericsson Approved AI-tools such as AWS-Q/Kiro, Agents
Familiarity with modern development tools such as GIT, Container and Cloud Technologies (Kubernetes, Cloud.)