Posted 3 months ago
Principal Systems Engineer- Enterprise AI (Design & Implementation)
@ Flatgigs
Montréal, Quebec
Overview
Flatgigs is hiring a Principal Systems Engineer for its client's North American R&D and solutioning hub to design and build scalable, enterprise-grade AI systems, reusable SDKs, frameworks and reference architectures. The role is full-time and combines high-level system architecture with hands-on coding, with multi-tenant design and support for at least 1,000 users. Competitive salary, a performance bonus scheme and a team stock option pool are offered.
Responsibilities:
- Design scalable, secure enterprise systems and AI architectures
- Build backend services, APIs, SDKs and reusable libraries
- Design multi-tenant platforms supporting at least 1,000 users
- Integrate existing applications and services into unified solutions
- Lead technical discussions and guide engineering teams
Requirements summary:
- Five or more enterprise-grade solutions designed for at least 1,000 users
- Strong hands-on experience with Python, Go or Rust
- Experience with distributed or service-oriented systems
- Experience designing multi-tenant platforms or enterprise SaaS
- Experience converting prototypes into production systems
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-08-03
- First seen by our source
- 2026-10-15
- Source record updated
- 2026-10-15
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Lead |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Perks mentioned | Performance bonus, Stock or equity |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Flatgigs
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Scaling Investor-Backed Startups & Growth Companies
Full company description
Flatgigs works with startups under pressure to hit growth targets. We support investor-backed teams when revenue has stalled, strategy needs a reset or internal bandwidth is maxed out. What we bring: - Operators with sector experience who know what moves the needle - Fractional execution that’s fast, flexible, and ROI-focused - Ongoing support to keep leadership aligned and growth on track Founders bring us in to move faster. Investors trust us to protect their portfolio.
- People associated on LinkedIn
- 2
- Reported office locations
- Dubai, AE
- Other recorded names
- Flatgigs
- Specialties
- HR Software and HR Recruitment
- Profile identifies a recruitment agency
- Yes
Flatgigs works with startups under pressure to hit growth targets. We support investor-backed teams when revenue has stalled, strategy needs a reset or internal bandwidth is maxed out. What we bring: - Operators with sector experience who know what moves the needle - Fractional execution that’s fast, flexible, and ROI-focused - Ongoing support to keep leadership aligned and growth on track Founders bring us in to…
| Field | Value |
|---|---|
| Industry | Business Consulting and Services |
| Company size | 2-10 employees |
| Headquarters | Dubai |
| Organization type | Privately Held |
| Year founded | 2023 |
| Specialties | HR Software and HR Recruitment |
| Open jobs on Jobsy | 5 |
| View page |
ROLE SUMMARY
Our client is hiring a highly technical Systems Engineer to join its North American R&D and solutioning hub.
This role is designed for an engineer who can move fluently between systems thinking, high-level architecture and hands-on software engineering. The successful candidate will design and build scalable, enterprise-grade AI systems, reusable software development kits, application frameworks, libraries, reference architectures and solution templates that can be adapted across multiple enterprise use cases.
You will not be responsible for designing isolated features or single-purpose applications. You will engineer complete systems by understanding business requirements, performance expectations, user volumes, integration constraints, tenancy models, security requirements and operational behaviour.
The ideal candidate has a proven track record of designing and delivering complex enterprise solutions while remaining close to the code.
WHAT WILL YOU BUILD
You will contribute to the design and development of:
- Enterprise-grade artificial intelligence platforms and solutions
- Multi-tenant software architectures
- Reusable SDKs, libraries and engineering frameworks
- Application templates and reference implementations
- AI-enabled enterprise applications
- Modular product components that can be assembled into broader solutions
- Integration layers connecting existing platforms, services and applications
- Scalable backend services and distributed systems
- High-level and detailed system architecture artefacts
- Proofs of concept that can be industrialised into production-grade products
KEY RESPONSIBILITIES
SYSTEMS DESIGN & ARCHITECTURE
- Own the high-level design of scalable, secure and maintainable enterprise systems.
- Translate complex business and technical requirements into clearly defined system architectures.
- Design systems based on expected user volumes, performance requirements, data throughput, concurrency, availability and operational constraints.
- Define system boundaries, component responsibilities, service interactions, data flows, interfaces and integration patterns.
- Design architectures capable of supporting a minimum of 1,000 users while maintaining reliability, performance and scalability.
- Evaluate architectural trade-offs across performance, cost, maintainability, security and speed of delivery.
- Develop reference architectures and reusable design patterns for enterprise AI solutions.
- Create architecture documentation, technical specifications, system diagrams and design decision records.
ENTERPRISE AI SOLUTION ENGINEERING
- Design enterprise AI solutions that combine models, SDKs, applications, APIs, data platforms and existing enterprise systems.
- Determine how existing technologies and applications can be integrated and orchestrated into a unified solution.
- Architect systems supporting AI inference, intelligent automation, agentic workflows, retrieval, data processing and enterprise integrations.
- Design reusable AI solution components rather than one-off implementations.
- Ensure AI systems are production-ready, observable, secure and capable of operating at enterprise scale.
- Collaborate with AI, machine learning, product and platform teams to convert experimental capabilities into reliable software products.
HANDS-ON SOFTWARE ENGINEERING
- Remain directly involved in coding, prototyping and technical implementation.
- Build backend services, APIs, libraries, SDKs, system components and reusable engineering tools.
- Produce clean, efficient, tested and maintainable production code.
- Prototype complex architectural concepts to validate feasibility, performance and integration behaviour.
- Review code and guide engineering teams on system-level implementation decisions.
- Diagnose performance bottlenecks, architectural limitations and system-level failures.
- Work across multiple programming languages and choose technologies based on system requirements rather than personal preference.
MULTI-TENANT AND SCALABLE SYSTEMS
- Design multi-tenant architectures with appropriate tenant isolation, access control, configuration and resource management.
- Define strategies for shared and dedicated infrastructure across different enterprise customers.
- Design systems that can scale horizontally and vertically based on workload patterns.
- Understand the performance, capacity, limitations and ideal use cases of each system component.
- Establish approaches for load distribution, caching, asynchronous processing, resilience and fault tolerance.
- Design for high availability, graceful degradation, recoverability and operational continuity.
- Anticipate future scale and prevent architectural decisions that create long-term platform limitations.
TECHNICAL LEADERSHIP AND COLLABORATION
- Work closely with CTOs, architects, product leaders, AI engineers and software development teams.
- Lead technical discussions and communicate architectural decisions clearly to technical and non-technical stakeholders.
- Challenge weak assumptions and identify risks before implementation begins.
- Provide technical direction without becoming disconnected from implementation.
Requirements
- Strong professional experience in systems engineering, software architecture, platform engineering or backend engineering.
- Demonstrated expertise in high-level system design and architectural thinking.
- Proven experience designing and delivering at least five enterprise-grade solutions.
- Each qualifying solution should have supported, or been designed to support, at least 1,000 users.
- Strong hands-on software development experience with Python, Go, Rust (language agnostic)
- Experience building scalable, distributed or service-oriented systems.
- Experience designing multi-tenant platforms or enterprise SaaS products.
- Strong understanding of system performance, capacity planning, concurrency and scalability.
- Experience integrating multiple existing applications, platforms or services into a unified enterprise solution.
- Experience designing APIs, SDKs, libraries, frameworks or reusable product components.
- Experience converting prototypes or proofs of concept into production-grade systems.
- Strong understanding of reliability, security, observability and maintainability.
- Ability to produce clear high-level design documentation and architecture diagrams.
Benefits
- Competitive Salary based on Market Rates
- Performance Bonus Scheme (PBS)
- Team Stock Option Pool (TSOP)
- Plus, other Company Benefits
Journal
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