Senior Machine Learning Engineer at TheAppLabb designing and deploying production - grade ML systems with a focus on AI features and cloud infrastructure.
About the role
- AI Engineer developing and deploying Agentic AI systems and scalable back-end architectures at WorkNomads. Collaborating with a diverse team to integrate AI services and optimize solutions.
Responsibilities
- Build and deploy Agentic AI systems
- Develop scalable back-end architectures using Python
- Design, implement and maintain AI agents from experimentation to production
- Work on internal AI initiatives
- Deploy AI services across cloud platforms (AWS, GCP, Azure)
- Collaborate closely with colleagues to ship production-ready systems
- Ensure clean integration of AI components with broader engineering infrastructure
- Apply MLOps best practices to monitor, optimize, and scale AI solutions
Requirements
- 4+ years of experience as an AI Engineer
- Strong back-end development background (Python is a must)
- Hands-on experience with Agentic AI frameworks and architectures
- Experience with MLOps and deploying AI systems to production
- Solid software engineering foundations (not purely Data Science-focused)
- Bonus: DevOps and/or Data Analytics experience
Benefits
- Flexible working hours
- Competitive remuneration and social benefits
- Remote work + optional coliving options for deep community connections
- Growth opportunities; learn from experts, expand your craft, work across industries
- Be part of something beyond work: culture, values, impact
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Lead AI platform architecture across Optical, IP, and Fixed Networks in Network Infrastructure sector. Driving automation and intelligence in network autonomy with extensive experience in AI systems.
AI Engineer designing and optimizing AI solutions focusing on LLMs within a hybrid team at KPI. Leading development and deployment of AI - driven strategies using Azure.
LP
Mainframe Developer
LinkedIn Recruiter Post
Mainframe Developer with strong COBOL, PL1, DB2, VSAM, CICS, JCL, and EASYPLUS skills. Analyze business requirements and translate into technical design and code.
LP
AI Developer / Engineer (LLM + Azure)
LinkedIn Recruiter Post
AI Developer/Engineer role requiring 5 - 8 years of AI/LLM solution experience. Focus on LLM + Azure technologies in Toronto, ON (Hybrid).
AI Developer Intern leading development and implementation of AI tutors for Universa AI Academy curriculum. Responsible for creating AI - powered learning experiences without human instructors.
Machine Learning/AI Engineer at Warner Music Group developing AI applications for music consumption insights. Collaborating with tech leadership and data scientists for scalable solutions.
Staff Applied AI Engineer developing AI growth solutions for real estate. Collaborating on game - changing products that empower entrepreneurs and drive the industry forward.
LP
AI Engineer
LinkedIn Recruiter Post
AI Engineer role designing and deploying production AI solutions with Azure OpenAI, LangChain, and cloud infrastructure. Requires 8 - 10 years experience in backend engineering, generative AI, and MLOps.
LP
Pega LSA with AI (GenAI / Modernization)
LinkedIn Recruiter Post
Lead AI - assisted legacy application modernization for Telecom using Pega GenAI. Focus on discovery, documentation, and planning with CAALM tools.