Full-Stack Software Engineer – AI-as-a-Service (AIaaS)

Full-Stack Software Engineer – AI-as-a-Service (AIaaS)

Location: Remote-US

Compensation: ~$180,000 base salary + equity

About Our Client

Our Client is building the future of ethical, enterprise-grade artificial intelligence. As a leading AI-as-a-Service (AIaaS) company, we deliver scalable ML infrastructure, intelligent APIs, and enterprise integrations that power next-generation decision-making. Our platform enables customers to rapidly deploy data-driven solutions with transparency, control, and velocity.

We're looking for builders who thrive at the intersection of software engineering and machine learning innovation—and who are hungry to make an impact.

Role Overview

We are hiring a Senior Full-Stack Software Engineer with deep experience delivering production-grade systems in AI/ML environments. This role is ideal for an individual contributor who thrives on end-to-end ownership, takes aggressive initiative, and collaborates cross-functionally to solve hard problems. You will partner with product, infrastructure, and machine learning teams to deliver critical services and interfaces that power our AI platform.

Key Responsibilities

• Design, build, and scale backend APIs and services (Node.js, Python, Go) used for ML inference, orchestration, and analytics.
• Build intuitive and performant front-end UIs (React + TypeScript) for ML workflows, dashboards, and data exploration tools.
• Collaborate with ML engineers to integrate training pipelines, model registries, and deployment workflows.
• Lead architecture and design sessions for new product modules including prompt orchestration, semantic search, and feedback loops.
• Implement integrations with cloud services (AWS/GCP/Azure), vector databases, and third-party enterprise systems.
• Write clean, testable code with CI/CD pipelines and monitor reliability in production.
• Identify and aggressively remove technical blockers across the stack—from database tuning to frontend responsiveness.
• Mentor junior engineers, contribute to internal docs, and drive best practices in security, observability, and scalability.

Minimum Qualifications

• 5+ years of full-stack software engineering experience.
• Strong backend experience in Node.js, Python, or Go, including data modeling and API design.
• Frontend experience with React and TypeScript in a production environment.
• Experience integrating and deploying ML models, RESTful or GraphQL APIs, and cloud-native microservices.
• Familiarity with ML frameworks (e.g., PyTorch, TensorFlow), MLOps tooling (e.g., MLFlow, Kubeflow), and model lifecycle best practices.
• Experience with vector search engines (e.g., Pinecone, Weaviate, FAISS), LLM orchestration tools (e.g., LangChain, LlamaIndex), or similar technologies.
• Demonstrated traits of curiosity (you ask why), creativity (you imagine how), and aggressiveness (you make it happen).

Qualifications of Preferred Candidates

• Contributions to AI infrastructure at an AI startup or ML-forward SaaS company.
• Experience with streaming architectures (Kafka, Redis Streams) or event-driven microservices.
• Familiarity with data governance, access controls, and compliance frameworks (SOC 2, HIPAA, GDPR).
• Deep understanding of the machine learning lifecycle and associated tooling.

Why Join Our Client?

• Build a cutting-edge AI platform from the ground up
• Own meaningful projects with high visibility
• Work with passionate people in a culture that values velocity, autonomy, and rigor
• Competitive compensation and equity aligned with growth
• Flexible work location and minimal bureaucracy