LP
Lead Software Engineer (Full-Stack)
LinkedIn Recruiter Post
Lead full - stack development of enterprise - grade trading and post - trade applications in a capital markets environment.
About the role
- Software Engineer Intern building real-time AI-driven customer interaction systems for the modern contact center. Contributing to production infrastructure that focuses on latency, reliability, and measurable business outcomes.
Responsibilities
- Design and build systems that support real-time AI-powered customer interactions
- Work on features combining LLMs, data systems, and user-facing applications
- Collaborate with engineers, product, and ML teams to ship production-ready solutions
- Build systems for evaluation, monitoring, and continuous improvement of AI behavior
- Optimize for low latency, high throughput, and reliability at scale
- Take ownership of problems end-to-end—from identifying gaps to shipping solutions
Requirements
- Experience with one or more programming languages (e.g., Python, Go, Java, JavaScript, TypeScript)
- Interest in building user-facing products, backend systems, or real-time/data-intensive applications
- Familiarity with modern web development (frontend and/or backend), APIs, or system design fundamentals
- Understanding of building reliable, maintainable systems—this could include UI/UX quality, API design, or performance considerations
- Curiosity about LLMs, AI agents, or production AI systems (no prior ML experience required)
- Experience using AI-powered developer tools (e.g., Cursor, Claude Code) to accelerate development workflows
- Strong proficiency in agentic coding workflows—effectively collaborating with AI tools to design, implement, and iterate—is a strong plus
- A driver mindset—you proactively identify problems, take initiative, and push work forward rather than waiting for direction
- Strong problem-solving ability and a bias toward action
Benefits
- Lunch and dinner can be expensed (up to $25 each) while working in the office
- Well-stocked office with snacks and drinks
- Convenient downtown location near Union Station (public transit accessible)
- PTO: 4 days
- Exposure to cutting-edge AI systems in production
- Potential return offer
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