Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Compliance & Risks

Senior Software Engineer – AI Build and Deployment

Compliance & Risks

Senior Software Engineer responsible for building and deploying AI solutions into applications. Collaborating with team on production-grade pipelines and engineering excellence practices.

Posted 5/2/2026full-timeRemote • 🇮🇪 IrelandSeniorWebsite

Tech Stack

Tools & technologies
AWSDistributed SystemsKubernetesNode.jsPythonTerraformTypeScript

About the role

Key responsibilities & impact
  • Design and build production-grade AI/LLM processing pipelines with a focus on reliability, throughput, and unit economics
  • Own observability for AI workloads end-to-end
  • Build and maintain the deployment and runtime infrastructure for these pipelines on AWS
  • Establish CI/CD for AI services and models: automated testing, regression evals, safe rollouts and rollback paths
  • Drive engineering excellence in the AI team — pipeline architecture patterns, versioning of prompts/models/datasets, reproducibility
  • Partner with SRE, Platform, and Product Engineering to harden shared services
  • Mentor engineers on building maintainable, testable AI systems; raise the bar on code review, design documents

Requirements

What you’ll need
  • 7+ years building production distributed systems
  • at least 2+ years operating AI/ML or LLM-based pipelines at scale
  • Deep experience with AWS (EKS/Kubernetes, Lambda, Step Functions, event-driven patterns)
  • Terraform or AWS CDK as a primary delivery mechanism
  • Strong proficiency in Python (and ideally TypeScript/Node) with production patterns for async processing, backpressure, retries, and idempotency
  • Proven track record with observability stacks (especially LGTM) applied specifically to probabilistic/LLM systems — evals, drift, hallucination detection, cost/latency SLOs
  • Experience integrating with foundation model providers (Anthropic, OpenAI, Gemini) and/or self-hosted inference, including prompt management, caching, and guardrails
  • Experience with vector stores, embeddings pipelines, and retrieval evaluation
  • Helpful to have experience with workflow tools like Argo or Dagster

Benefits

Comp & perks
  • flexible working hours
  • time to take care of your physical and emotional well-being

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI processing pipelinesLLM processing pipelinesproduction distributed systemsAWSTerraformAWS CDKPythonTypeScriptobservability stacksvector stores
Soft Skills
mentoringengineering excellencecode reviewdesign documentation