Publié il y a 3 mois
RQ11442 - Software Developer - API - Senior
@ Flexstaf IT
Toronto, Ontario
SIGNAUX
En bref
Flexstaf IT is hiring a senior software developer for an API-focused role building React and Next.js front ends, RESTful APIs and AI-driven systems. The work covers agentic AI, ML model integration and MLOps, with cloud deployment on Azure.
Responsabilités :
- Développer et tester des API RESTful et des interfaces web
- Traduire les spécifications techniques en applications fonctionnelles
- Intégrer des systèmes d'IA et de machine learning
- Résoudre les problèmes techniques et documenter les solutions
Résumé des exigences :
- Au moins 5 ans avec React, TypeScript, Node.js et Next.js
- 2 à 3 ans en IA agentique, LangChain, RAG et Python
- Expérience avec Azure et les méthodologies Agile
- Solides compétences en communication
Outils et compétences
Source et dates
Type de source non vérifié · manatal
- Date publiée par l’employeur
- 2026-08-19
- Première détection par notre source
- 2026-10-11
- Mise à jour du dossier source
- 2026-10-11
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 5 an(s) et plus |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Flexstaf IT
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 85 |
Description
Must Have:
- 5+ Experience with React framework and typescript
- 5+ Experience with Node.js and Next.js
- 5+ Experience building and testing RESTful APIs
- 2-3+ years of Multi-agent (Agentic AI), LLMops, MCP, langchain, langGraph, RAG, Qdrant, Python
- Experience with ML models - XGboost, Tensorflow
- Experience with Airflow, PySpark
- 5+ Hands on experience with Progressive Web Apps
- Experience and expert knowledge in HTML, JavaScript, CSS and CSS Frameworks
- Experience with cloud platforms such as Azure
Nice to have:
- Hands on experience developing production level AI agents, frameworks and AI supported systems using various models, tools and architectures (e.g. LLMs, ML, Computervision, etc.)
- Hands on experience designing and implementing MLOps tools and processes in enterprise environments
- Prior OPS exp or public sector exp.
Experience and Skill Set Requirements
Technical Skills 40%
- Experience with Agile methodologies
- Experience with React framework and typescript
- Experience with Node.js and Next.js
- Experience building and testing RESTful APIs
- Multi-agent (Agentic AI), LLMops, MCP, langchain, langGraph, RAG, Qdrant, Python
- ML models - XGboost, Tensorflow
- MLops - Mlflow, DVC
- Airflow, PySpark
- Working knowledge of Jamstack Architecture
- Hands on experience with Progressive Web Apps
- Hands on experience with responsive design, front-end testing and debugging techniques, page load optimization and version control
- Experience and expert knowledge in HTML, JavaScript, CSS and CSS Frameworks
- Working knowledge of DevOps, task boards, pipelines, etc.
- Experience with headless content management systems
- Experience creating front end functionality for login page, profile creation, customer notifications and self-service sign-up
- Required to translate technical systems specifications into working, tested applications. This includes:
- Developing detailed programming specifications
- Writing and/or generating code
- Compiling data-driven programs, maintaining, and conducting unit tests
- Resolves and troubleshoots technical problems which arise during the use and operation of software packages, including technical assistance in implementation, conversion, and deployment
Experience 40%
- Experience with cloud platforms such as Azure
- Experience with Agile methodologies including using kanban/task boards
- Extensive experience with JavaScript, CSS, HTML, and front-end languages, user interface design.
- Experience with RESTful APIs.
- Hands on experience developing production level AI agents, frameworks and AI supported systems using various models, tools and architectures (e.g. LLMs, ML, Computervision, etc.)
- Hands on experience designing and implementing MLOps tools and processes in enterprise environments
- Experience in programming and analysis; specialized software package support at the specified experience level
- Ability to collaborate with IT Professionals throughout the Software Development Life Cycle
- Experience in structured methodologies such as Agile Scrum for the development, design, implementation, and maintenance of applications
- Experience in design, code, test, debug and document applications
- Experience in application design, latest design patterns, deployment, and troubleshooting
- Experience with one or more communications protocols
- Experience eliciting and documenting information from diverse business area stakeholders and subject matter experts
- Excellent analytical, problem-solving, and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills
- A team player with a track record for meeting deadlines
- Hands on experience building integrations to IAA systems such as Azure AD B2C Authentication, Okta Authentication
Communication Skills 20%
- Strong communication skills to prepare documentation, including but not limited to: solution documentation, user manuals, reports, reviews, assessments
- Ability to present ideas and suggestions clearly and effectively and in a user-friendly manner; maintain a high level of customer service to both internal and external clients
- Ability to communicate designs and development in clear and understandable manner
Journal
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