AI/Full Stack Developer

Unisystech Consulting Inc.; Toronto; Presencial; CAD 120 000 - 160 000; Tempo integral

Resumo da oferta

Unisystech Consulting Inc. is seeking a Senior AI/Senior Full Stack Developer to rapidly deliver an AI Agent-based prototype that automates workflows. The role emphasizes human-in-the-loop controls, guardrails, engineering standards, and comprehensive automated testing.

You will develop the prototype with PyTorch and AWS services, maintain high test coverage, and demonstrate weekly progress while writing clear documentation for future development.

Qualificações

• Post-secondary education in STEM.
• Self-starter with capability to work independently.
• Enthusiastic and eager to learn.

Responsabilidades

• Deliver a functional AI Agent-based prototype.
• Implement human-in-the-loop controls and guardrails.
• Ensure the code is fully covered by automated testing.

Conhecimentos

AI Systems

Python & AI Tools

AWS Expertise

Software Engineering

Automated Testing

Independent Work

Formação académica

STEM Degree

Ferramentas

PyTorch

LangChain

LangGraph

llama-index

AWS CDK

SageMaker

Bedrock

Lambda

IAM

S3

Descrição da oferta de emprego

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.

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.
• Operate independently; run weekly demos; incorporate feedback quickly; write clear documentation.

Preferred Skills

• Certification:
• Preferred: AWS ML Specialty, Solutions Architect – Professional, Security – Specialty.