About the Company

We are seeking a Senior AI Agentic 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.
Robust 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).
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 transparent documentation.

Preferred Skills
Certification:
Preferred: AWS ML Specialty, Solutions Architect – Skilled, Security – Specialty.
Nice‑to‑have: Developer – Associate, DevOps Engineer – Professional, Data Engineer – Associate.

📌 Ai Developer Toronto
🏢 Unisystech Consulting
📍 Toronto