Publié il y a 15 mois
Senior Software Engineer, AI Products
@ hireVouch
Kitchener, Ontario
En bref
hireVouch is hiring a Senior Software Engineer for AI Products to integrate large language models and machine learning into its platform and internal systems. The work covers building AI features, LLM-based automation tools, scalable ML/LLM pipelines and cost-aware model optimization. The posting asks for 5+ years of backend engineering with ML and Gen-AI, and does not state salary, schedule or work arrangement.
Responsabilités :
- Build and ship AI-based platform features
- Develop LLM-based internal automation tools
- Build and maintain ML/LLM pipelines at scale
- Optimize AI model performance and infrastructure cost
- Collaborate with product, engineering and data teams
Résumé des exigences :
- 5+ years as a backend engineer with ML and Gen-AI
- Production experience with LLM technologies
- Proficiency in Python and vector databases
- Experience with RAG pipelines
- Familiarity with MLOps and model monitoring
- Startup experience preferred
Outils et compétences
Source et dates
Type de source non vérifié · cats
- Date publiée par l’employeur
- 2025-08-28
- Première détection par notre source
- 2026-10-10
- Mise à jour du dossier source
- 2026-11-07
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, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
hireVouch
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
A referral is the greatest form of flattery.
Description complète de l’entreprise
Our Edge Hiring and retaining skilled talent is paramount for your company’s success. Finding the right people – who have the right skills and right personality fit – can be incredibly challenging in today’s job market. Here at hireVouch we can help you acquire the highest calibre candidates through the relationships we have formed over more than a decade. Our approach is an ethical one. Rather than use the often-employed aggressive methods typical of the recruitment industry, our focus is placed largely on referral-based networking. Getting it right really matters to us. Let us leverage our network of talent that has already been vouched for by leading professionals in the industry to help your business grow. Services Offered Contingency and Retained Search Here at hireVouch we focus on sourcing best-in-class candidates for rewarding positions in Canada and the US. We have extensive expertise in Contingency, Retained and Temporary placement, primarily within the IT sector. On-Site Search Assistance We have a trusted network of HR and search professionals who can provide on-site search services to help fulfill immediate needs as well as help train internal staff in finding the highest quality talent Company Marketing Strategy We know how competitive the job market can truly be and how important it is to have a strategy to attract talent. At hireVouch we have extensive expertise in helping companies better market themselves. We can provide the tools and knowledge that will assist you in making your business a highly attractive place to work. Developing a company marketing strategy is key to hiring the talent you need to grow.
- Abonnés LinkedIn
- 68 412
- Personnes associées sur LinkedIn
- 7
- Bureaux déclarés
- 215 Spadina Avenue, 4th Floor, Toronto, Ontario M5T 2C7, CA
- Autres noms enregistrés
- hireVouch
- Le profil indique une agence de recrutement
- Oui
Our Edge Hiring and retaining skilled talent is paramount for your company’s success. Finding the right people – who have the right skills and right personality fit – can be incredibly challenging in today’s job market. Here at hireVouch we can help you acquire the highest calibre candidates through the relationships we have formed over more than a decade. Our approach is an ethical one. Rather than use the…
| Champ | Valeur |
|---|---|
| Secteur | Staffing and Recruiting |
| Taille | 2-10 employees |
| Siège social | Toronto, Ontario |
| Type d’organisation | Privately Held |
| Fondée en | 2016 |
| Offres sur Jobsy | 174 |
| Voir la page |
The role
As an AI Engineer, you will play a pivotal role in integrating large language models (LLMs) and machine learning (ML) solutions into our platform and internal systems. Your work will directly impact customer experiences, operational efficiency, and product innovation.
What You Will Be Doing:
Build & Ship AI Based Features – Design, implement, and optimize AI-driven features for the platform, enhancing customer experience and business impact.
AI-Powered Automation & Tooling – Develop LLM-based internal automation tools to streamline workflows, reduce manual effort, and improve team productivity.
Scalable AI Infrastructure – Build and maintain a ML/LLM pipeline, ensuring robust, efficient, and scalable deployments.
Performance & Cost Optimization – Improve AI model performance, balancing speed, quality, and infrastructure costs.
Cross-Functional Collaboration – Work with product, engineering, and data teams to define AI/LLM use cases and share best practices.
What We’re Looking For:
5+ years of technical experience: 5+ years of experience as a Backend Software engineer working directly with ML and Gen-AI or similar. Prior startup experience is preferred but not required.
Strong LLM & ML Expertise: Experience working with LLM technologies (AWS Bedrock, OpenAI, Anthropic, Hugging Face models, or Llama etc.) in production and proficiency with prompt engineering, model selection, and ML/AI observability.
Technology Skills: Proficiency in Python, vector databases (FAISS, Pinecone, Weaviate), and retrieval-augmented generation (RAG) pipelines. Experience with Django, AWS/GCP, and pytest preferred but not required.
MLOps Experience: Familiarity with AI model deployment, monitoring, and scaling in production environments.
Problem-Solving Mindset: Ability to tackle ambiguous AI challenges and develop scalable, efficient AI solutions.
Collaboration & Communication: Comfortable working with engineers, data scientists, and product teams to define and implement AI-driven features.
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Our Tech Stack:
Infra: AWS, Fargate, Redis, PostgreSQL, SQS, CDK, Github, retool
Backend: Django REST framework, Celery
Frontend: Next.js, Tailwind css
LLM: AWS Bedrock, OpenAI, Claude
Journal
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