AI/Full Stack Developer

Job summary

Build a functional AI agent-based prototype to automate workflows, including human-in-the-loop controls and guardrails. Ensure the prototype follows sound engineering practices and has comprehensive automated test coverage.

Job details

About the Company We are seeking a AI/Senior Full Stack Developer to rapidly deliver a functional AI Agent-based prototype that automates certain workflows. The prototype should have human-in-the-loop controls, guardrails, and be developed with engineering standards that make further development straightforward. The code should be fully covered by automated testing. About the Role The Senior AI Agentic Developer will be responsible for creating a prototype that automates workflows while ensuring high standards of engineering and testing. Responsibilities Deliver a functional AI Agent-based prototype. Implement human-in-the-loop controls and guardrails. Ensure the code is fully covered by automated testing. Qualifications Post-secondary education in STEM. Work with minimal supervision, self-starter. Enthusiastic/driven with a desire to learn. Strong written/verbal communication. Required Skills AI & Agentic Systems Deep Python and AI tooling (PyTorch, LangChain/LangGraph, llama‑index) with proven agentic/RAG delivery. Agentic (multi‑step/tool use/human-in the-loop) and RAG systems (chunking, embeddings, vector stores, routing, grounding & eval). Javascript , Node.js, typescript, python, AWS, React, next.js AWS Expertise Can develop applications with AWS Serverless including, Compute (e.g., lambda, Fargate), Network (e.g., VPC essentials), Security (e.g., IAM), Storage (e.g., S3), IaC (e.g., AWS CDK), Observability (e.g., CloudWatch), and AI Services (e.g., Bedrock, SageMaker, AgentCore). Software Engineering Automated testing at multiple levels (unit/integration/contract/e2e) with high coverage on critical paths. CI/CD (Git‑based workflows), code quality gates. Collaboration & Delivery Operate independently; run weekly demos; incorporate feedback quickly; write clear documentation. Preferred Skills Certification: Preferred: AWS ML Specialty, Solutions Architect – Professional, Security – Specialty. Nice‑to‑have: Developer – Associate, DevOps Engineer – Professional, Data Engineer – Associate.

What you’ll do

Build a functional AI agent-based prototype to automate workflows, including human-in-the-loop controls and guardrails. Ensure the prototype follows sound engineering practices and has comprehensive automated test coverage.

Requirements

Requires post-secondary STEM education, strong communication, independence, and a self-starting, learning-oriented approach. Candidates should have deep Python and AI tooling experience, proven agentic and RAG delivery, AWS serverless development expertise, and experience with automated testing and CI/CD.

Listed skills

• Next.js · Preferred
• Node.js · Preferred
• CI/CD · Preferred
• Automated testing · Preferred
• React · Preferred
• JavaScript · Preferred
• TypeScript · Preferred
• Amazon Web Services · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• PyTorch
• LangChain
• LangGraph
• LlamaIndex
• Agentic Systems
• Retrieval-Augmented Generation
• JavaScript
• Node.js
• TypeScript
• AWS
• React
• Next.js
• Automated Testing
• CI/CD
• AWS CDK

Job areas

• Software
• Technology
• Engineering
• Data & Analytics

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