Senior Full Stack Engineer, AI Platform & Agents (US/Canada Hybrid/Remote)

About the role

Our team is building a central GenAI Platform to empower hundreds of product teams across the organization with scalable capabilities for rapid development, validation, and deployment of AI agents. We also drive the development of the most impactful AI agents, ensuring faster delivery and greater impact across multiple domains.

Responsibilities

• Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.
• Build developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries, rollout/rollback, cost and quality telemetry).
• Apply secure SDLC and privacy-by-design practices (threat modeling, least privilege).
• Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes.
• Apply current LLM patterns (RAG, retrieval, routing, tool-use, evals) to deliver measurable customer value—faster, more reliable AI systems; reduced time-to-decision; improved trust/safety metrics; and lower cost per query.
• Lead by example through writing high-quality, maintainable code that demonstrates engineering craftsmanship.

Requirements

• 5+ years of professional software engineering experience.
• Strong full-stack development skills and cloud experience (AWS/Azure/GCP).
• Expert in at least one, and proficient across the others: AI Agent development and evaluation, Backend development, Frontend development, Cloud services (AWS/Azure/GCP), CI/CD and Infrastructure as Code, Site Reliability Engineering (SRE), Quality engineering / testing strategy, Secure SDLC and privacy by design.
• Proven track record delivering secure, reliable, cloud-native systems to production.
• Excellent problem-solving, ownership, and cross-functional communication.

Qualifications

• Proven ability to deliver software products independently or as part of a small, fast-paced team.
• Experience of taking AI agents from concept to production, including safety evaluations, iterative testing (e.g., A/B testing), and continuous improvement.
• Experience with LangChain/LangGraph and MCP; vector/RAG systems; OpenSearch.
• Experience with traditional ML tasks like training, deployment, and monitoring.
• Understand how LLMs work, their failure modes, and techniques like fine-tuning and model adaptation.
• Familiarity with regulatory frameworks such as SOC2, HIPAA, etc.

Skills

• TypeScript
• Node.js
• React
• Python
• LangChain/LangGraph
• MCP/A2A
• Rust
• AWS
• Azure
• GCP
• Docker
• Terraform
• GitHub Actions
• DocumentDB
• DynamoDB
• OpenSearch
• Azure AI Search
• Azure OpenAI
• AWS Anthropic
• Google Gemini
• GitHub
• Confluence
• Slack

Benefits

• Medical, Dental, & Vision Plans
• 401(k)
• FSA/HSA
• Commuter Benefits
• Tuition Assistance Plan
• Vacation and Sick Time
• Paid Parental Leave

Pay

$99,600.00 - $174,000.00 USD

Schedule

Remote-first in US or EU, with hybrid options near major offices. Collaboration requires 9–11 AM CST overlap. Occasional travel for team onsites/offsites as needed.

Contact

Please submit your resume along with a brief cover letter that includes a “Statement of Exceptional Work.” In your cover letter, highlight one of your most impactful projects by addressing the following: Your role and the problem space you were working in, The technical and product challenges you faced, and how you addressed them, The measurable impact of your work (e.g., metrics, outcomes, improvements).