AI Engineer
Tactable
Our Mission at Tactable
What if you could build software that didn’t just scale, but transformed entire organizations?
At Tactable, this is what drives us. We’re building a world-class cloud, data, and API engineering firm with a mission to power the most influential tech of tomorrow, through expert-led delivery, strong partnerships, and a relentless focus on quality.
We don’t just consult. We build.
Founded by engineers who care deeply about people, process, and product, we go beyond just solving problems. We embed with clients, work across full project lifecycles, and operate at the speed of startups while upholding the rigor of enterprise-grade engineering.
From financial institutions to emerging tech ventures, our work is behind some of the most mission-critical systems in production today, and we’re just getting started. With growing demand from top-tier clients and a strong runway for expansion, we’re building a team of curious, ambitious developers who want to build meaningful things with meaningful people.
Take a look at tactable.io to learn more about our work and what sets us apart.
The Role: AI Engineer
We are seeking an experienced AI Engineer with deep experience designing, building, and operating agentic AI systems in real-world, regulated environments. In this role, you will design, develop, and deploy advanced AI solutions that demonstrate autonomous, goal-oriented behavior. You will collaborate with cross-functional teams to integrate rule-based logic, statistical models, and large language models into robust, scalable applications.
This role is ideal for someone who thrives in fast-paced, collaborative consulting environments, enjoys taking ownership of complex problems, and can balance innovation with reliability. You’ll have real influence over architecture, tooling, and best practices as our AI capabilities continue to grow.
If you care about clean pipelines, scalable architecture, and building AI systems that serve real users in high-impact domains, you’ll thrive at Tactable.
What You’ll Do
End-to-End Engineering
- Design & Development: Architect and build agentic AI systems with autonomous decision-making and adaptability.
- Programming & Scripting: Develop and maintain scalable, efficient Python code integrated with AI components.
- Data Management: Use SQL for data querying, transformation, and integration with AI systems.
- Language Models: Implement and fine-tune LLMs and SLMs for natural language understanding and generation.
- Rule-Based & Statistical Modeling: Integrate rule-based systems and statistical models to enhance decision-making.
- Orchestration & Deployment: Deploy, monitor, and evolve distributed AI systems in production.
- API Development: Design, develop, test, and document APIs for external integrations and data exports.
- Cloud & AI Infrastructure: Work with AWS services such as SageMaker and Bedrock to deploy and scale AI workloads.
Technical Leadership
- Technical Expertise: Deep proficiency in Python, SQL, system design, orchestration, and AI frameworks.
- Innovation: Actively identify areas for innovation and drive adoption of modern AI/ML approaches.
- Agent-Based Frameworks: Experience with autonomous agents and tools like LangChain and LangGraph.
- Security & Compliance: Ensure systems meet performance, security, and regulatory standards expected in financial services environments.
Client & Project Exposure
- Embedded Collaboration: Work directly with client engineers, product managers, and data teams throughout the full delivery lifecycle.
- Problem-Solving: Tackle complex engineering and AI challenges with creativity and analytical thinking.
- Communication: Strong verbal and written communication skills, with a collaborative, proactive mindset.
- Project Engagement: Comfortable contributing across the full lifecycle of client-facing AI initiatives.
What You Bring
Must-Have Experience
- 7+ years of experience building, deploying, and operating production AI/ML systems
- Advanced Python experience in developing AI applications and automation scripts
- Strong SQL proficiency in data manipulation and querying
- Hands-on implementation and fine-tuning of large and small language models (LLMs/SLMs)
- Integration of rule-based systems and statistical models within broader AI frameworks
- Management and orchestration of distributed systems and services
- Design, development, and maintenance of production-grade APIs
Bonus Points For
- Prior work in finance, trading, or other regulated/high-performance environments
- Strong documentation, collaboration, and knowledge-sharing mindset
- Familiarity with Databricks or large-scale data platforms
Why You’ll Love This Role
- Growth-First Culture: From custom career paths to project rotation, we design roles around your goals, not just business needs.
- Full Ownership & Impact: You’ll own critical parts of delivery, architecture, and technical decision-making. No red tape, no silos.
- Tight-Knit Team: We’ve built a culture of trust, collaboration, and curiosity. Whether it’s team lunches, hack days, or a new internal tool, we move as one unit.
- Real Work, Real Users: We’re not building MVPs that sit on a shelf. You’ll work on systems that millions rely on, every day.
- Flexibility with Structure: We’re a hybrid-first team with a strong appreciation for in-office collaboration, especially at our downtown Toronto HQ. We encourage in-person presence to foster mentorship, connection, and collaboration.
Why This Might Not Be a Fit
- You’re looking for narrowly scoped responsibilities or long-term focus on a single domain
- You prefer a rigid hierarchy with formal titles and isolated workstreams
- You’re more comfortable in a vendor-style delivery model than deep technical partnerships
Compensation, Benefits & Perks
- Salary Range: Competitive and flexible, based on experience and fit for the role.
- Comprehensive health and dental plan
- Generous PTO and holidays
- Laptop & home office equipment provided
- Career coaching and personalized development plans
- Regular social events, team outings, and wellness activities
Ready to Build the Next Generation of Data Infrastructure?
No cover letter required. Just apply, and let’s start building.
