At Articul8 AI, we build enterprise-grade Generative AI platforms that drive real- world transformation. We combine deep technical rigor with a mission-driven mindset to empower industries and communities through responsible AI.
We're not just writing code—we're building the infrastructure for an AI-native future. If you believe software is being rewritten by AI and you want to lead that transformation, we'd love to meet you.
We're hiring a Staff Software Engineer to lead the design and development of our backend APIs—powering scalable, secure, high-performance GenAI services.
But more than just a backend expert, we're looking for a builder with a 100x mindset.
We expect our engineers to leverage modern AI tools (like GitHub Copilot, GPT- based assistants, etc.) to deliver 10x+ outcomes through leverage, not just effort.
We believe the best engineers who harness AI don't just become 10x—they become 1000x. But without human expertise, AI is just garbage in, garbage out. It's the fusion of sharp minds and powerful tools that creates breakthrough results.
If you're excited by the idea of engineering at the edge of AI innovation—and using those tools to level yourself and others up—you'll thrive here.
Design and build robust RESTful and GraphQL APIs using Python, Go, or Rust Architect scalable systems for real-time AI/ML-powered applications
Partner with ML engineers and frontend developers to ship intelligent, user- facing features
Ensure performance, security, and reliability across hybrid (cloud/on-prem) environments
Lead technical architecture and long-term backend strategy
Drive best practices for code quality, observability, and API design
Mentor engineers and help grow a high-performance, AI-augmented engineering culture
Take ownership of customer deployments and support production excellence
8+ years of backend software engineering experience (Python, Go, Rust)
Bachelors degree in Computer Science, Engineering, or related technical field, or equivalent experience.
Proven experience designing and scaling APIs in cloud-native environments
Strong systems thinking, debugging skills, and production engineering mindset
Hands-on with modern infra: Docker, Kubernetes, cloud platforms (AWS/GCP/Azure)
Experience with distributed systems, async services (Kafka, RabbitMQ), and databases (SQL/NoSQL)
Deep curiosity and a growth mindset—you love learning, experimenting, and iterating
Comfortable using AI tools to accelerate your development workflow
Masters or PhD degree in Computer Science, Engineering, or related technical field, or equivalent experience.
Experience with AI/ML platforms or MLOps pipelines
Familiarity with Graph or Vector databases, or large-scale search infra-Startup or hypergrowth environment experience
Exposure to CI/CD pipelines, feature flagging, and testing frameworks
AI-Native Culture: Use AI to amplify your impact. We encourage experimentation, fast iteration, and continuous learning.
Mission with Impact: Help enterprises solve critical challenges with cutting- edge AI.
Modern Stack: Build with Python, Go, Kubernetes, modern tooling, and scalable infra.
Flexible Work: Remote-first, outcome-oriented work culture.
Amazing People: Join a high-caliber, inclusive, and ambitious team that values growth.
If you're an engineer who blends deep technical skill with a love for smart tools— and youʼre hungry to do the best work of your career—we'd love to hear from you.
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