
51 - 200 employees
💰 Private Equity Round on 2021-07
Compliance & Risks helps companies unlock market access by simplifying the world of product compliance. Our software, regulatory content and team of subject matter experts provide the most comprehensive market access solutions in the world.
🕒 May 2
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51 - 200 employees
💰 Private Equity Round on 2021-07
Compliance & Risks helps companies unlock market access by simplifying the world of product compliance. Our software, regulatory content and team of subject matter experts provide the most comprehensive market access solutions in the world.
• 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
• 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
• flexible working hours • time to take care of your physical and emotional well-being
Apply Now🕒 April 23
Software Engineer managing production stability and reliability in a SaaS environment. Investigating issues and improving internal tooling for efficiency.
Angular
AWS
Cloud
Grafana
Java
🕒 April 22
Senior Software Engineer building integrations and developing services for G-P's platform. Collaborating with teams to design robust APIs and enhance serverless architecture.
AWS
DynamoDB
JavaScript
Microservices
Node.js
NoSQL
React
SDLC
TypeScript
🕒 April 20
201 - 500
Software Engineer on Hopper's Fintech Foundation team designing and evolving machine learning systems. Impacting pricing strategies for a global travel platform.
ETL
Python
Scala
SQL
🕒 April 20
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Software Engineer building and evolving distributed systems for high-performance APIs at Twilio. Focus on designing low-latency architectures and ensuring robust infrastructure.
AWS
Cloud
Distributed Systems
Google Cloud Platform
Java
Kafka
Postgres
Spark
Spring
Terraform
🕒 April 15
Software Engineer designing reliable, secure AWS infrastructure for Phorest, enabling self-service tooling that supports salons. Collaborating with teams to enhance cloud solutions and automate CI/CD processes.
🇮🇪 Ireland – Remote
💰 $12M Debt Financing - Phorest on 2022-03
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
AWS
Cloud
EC2
Python
Terraform