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AI Software & Platform Engineer
Location: Dublin, Ireland (Remote)
Experience: 4 to 8 Years
About LatentView
LatentView Analytics is a global data analytics and AI solutions company that partners with Fortune 500 and high-growth clients to turn data into competitive advantage. Our teams combine deep technical expertise with business context to ship measurable outcomes — not just models and dashboards — across industries.
We are looking for an AI Software & Platform Engineer to help build, deploy, operate, and integrate AI-powered applications and services.
The ideal candidate is a strong software/platform engineer with significant hands-on experience in Python, Kubernetes, Docker, backend systems, and production environments. The role sits at the intersection of software engineering, platform engineering, AI infrastructure, and data engineering. We are therefore looking for engineers with strong technical fundamentals who can learn new technologies quickly and adapt their skills as project requirements evolve.
Key Responsibilities
· 4–10 years of professional engineering experience.
· Strong hands-on experience with Python.
· Experience developing backend services and APIs.
· Strong understanding of software engineering fundamentals.
· Experience with:
oGit
oTesting
oDebugging
oAPI development
oProduction software
oSystem integration
· Strong hands-on Kubernetes experience.
· Strong experience with Docker and containerized applications.
· Experience deploying and operating production applications.
· Good understanding of:
oKubernetes workloads
oDeployments
oServices
oConfiguration
oResource management
oTroubleshooting
· Experience with CI/CD pipelines.
· Familiarity with monitoring, logging, and observability.
Hands-on experience with or familiarity with:
· LLM applications
· AI agents
· RAG
· Tool/function calling
· AI application deployment
· Strong SQL skills.
· Experience working with structured and semi-structured data.
· Understanding of ETL/ELT concepts.
· Experience building, maintaining, or supporting data pipelines.
· Understanding of databases and data integration.
· Kubernetes at scale
· Infrastructure as Code
· Terraform or equivalent
· Distributed systems
· Microservices
· Workflow orchestration
· Cloud platforms
· Data processing frameworks
· Event-driven architectures
· Streaming technologies
· Observability and tracing
· Security and IAM
· AI/ML infrastructure
· Agent orchestration frameworks
The role will involve technologies and systems that candidates may not have previously encountered.
We are looking for engineers who can:
· Quickly understand unfamiliar technical environments.
· Learn new infrastructure and deployment technologies.
· Transfer experience from existing platforms to new environments.
· Work independently through technical documentation.
· Troubleshoot complex production problems.
· Develop new skills as the team's needs evolve.
· Transition across software, platform, AI, and data engineering responsibilities when required.
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