Citizens and Permanent Residents Holders and those authorized to work in the Canada/USA are encouraged to apply. We are unable to sponsor Visa/work Authorization at this time for this full time role
We’re looking for a pragmatic and thoughtful engineering leader to help scale
our platform, development practices, and team.
About The Role
We're seeking a Senior AI Engineer to join our
growing team and help build the next generation of AI-powered SaaS solutions. This role requires a unique blend of backend
engineering excellence and cutting-edge AI expertise to deliver
production-ready, scalable AI features that directly impact our customers.
WHAT YOU’LL BE WORKING ON:
- Build
AI-Powered Features: Design, develop, and deploy production-grade AI
applications that solve real customer problems, from concept to deployment
- Architect
Scalable Systems: Create robust backend architectures that support AI
workloads, ensuring low latency, high reliability, and seamless
integration with existing services
- Drive
AI Innovation: Implement and optimize agentic AI systems, RAG pipelines,
and multi-agent workflows using modern LLM frameworks
- Own
the Full Stack: Take end-to-end ownership of features, from database
design and API development to AI model integration and monitoring
- Collaborate
Cross-Functionally: Work closely with product, design, and data teams to
translate business requirements into technical solutions
- Optimize
and Iterate: Run experiments, A/B tests, and evaluations to continuously
improve AI system performance and user experience
Who We’re Looking For
- 5+
years of hands-on AI/ML engineering experience, building and deploying AI
features in production environments
- AI
& ML: Deep understanding of LLMs, prompt engineering, RAG
architectures, vector databases (Databricks/pgVector), and agentic AI
frameworks (LangChain, Google ADK, or similar)
- Strong
Python expertise with modern frameworks (FastAPI, Flask, Django) and
microservice architecture patterns
- Cloud
& DevOps: Experience with AWS/GCP/Azure, containerization
(Docker/Kubernetes), and CI/CD pipelines
- Data
Processing: Strong foundation in statistical methods, data pipelines, and
ETL processes
- Experimentation
Mindset: Experience with A/B testing, evaluation frameworks, and
hypothesis-driven development to validate AI features
- Quality-Focused:
Deep commitment to code quality, testing, monitoring, and observability in
AI systems
- Adaptable
& Fast Learner: Comfortable navigating ambiguity and rapidly adopting
new AI technologies and methodologies
* The pay range listed above reflects the expected
starting salary /Pay rate for this role. This range may be adjusted based on
market conditions, location, and other relevant factors. The Company will
determine the final starting salary/Pay rate in consultation with the selected
candidate(s), in full compliance with applicable laws
