Software Engineer, AI

This is Engineering at Lattice

Lattice’s Engineering team is continuously improving both our product and our craft. We build maintainable, performant systems using modern technologies, and we collaborate closely with product and design to deliver agentic, high quality user experiences.

Our AI Engineering team is building the systems that power how AI works across Lattice. Within the Quality sub-team, we focus on how AI systems are evaluated, measured, and improved over time. You’ll contribute to the infrastructure and tooling that help us understand how our AI performs in production and ensure we’re building reliable, high-quality experiences for our customers.

What You Will Do

AI Evaluation & Quality Systems

• Contribute to AI evaluation pipelines, including offline evals, production tracing, and feedback systems.
• Implement and maintain performance metrics (e.g., response quality, task success, reliability) using established frameworks.
• Help create and maintain evaluation datasets and test cases to identify regressions.
• Analyze results and propose incremental improvements to model and agent quality.

AI Systems & Infrastructure

• Contribute to AI system components such as RAG pipelines, retrieval systems, and multi-step workflows within existing architectures.
• Write clean, maintainable Python code that integrates with LLM providers and internal services.
• Support improvements to system reliability, observability, and performance in production.

Execution & Team Contribution

• Deliver well-scoped projects with guidance from more senior engineers.
• Break down tasks, make steady progress, and be proactive in unblocking yourself by asking for help when needed.
• Contribute to team excellence through code reviews, documentation, and knowledge sharing
• Collaborate with cross-functional partners to ship user-facing features.

What You Will Bring to the Table

Experience

• 2–5 years of professional software engineering experience.
• Experience contributing to production systems as part of a team.
• Exposure to AI/ML systems with a strong interest in LLM-powered products.
• Experience debugging systems, working with data, and iterating on performance.

Technical Skills

• Proficiency in Python or a similar language.
• Strong understanding of LLM concepts (prompting, RAG, evaluation).
• Familiarity with backend systems, APIs, and cloud environments (e.g., AWS, GCP).
• Exposure to logging, monitoring, or debugging tools.
• Interest in learning tools like LangGraph, vector databases, and evaluation platforms.

Ways of Working

• Strong ownership: you reliably deliver high-quality work on well defined tasks, on time and communicate progress clearly.
• Learning mindset: you actively seek feedback and improve quickly.
• Pragmatic and product-minded: you focus on solving problems effectively and not perfectly.
• Collaborative: you contribute to team discussions and uphold engineering best practices.
• Growth-oriented: you actively seek feedback and expand your skills in AI engineering.

Nice to Have

• Hands-on experience with LLMs, prompt iteration, or MLOps.
• Familiarity with vector databases or retrieval systems.
• Exposure to experimentation, metrics, or basic statistical analysis.
• Familiarity with TypeScript. Our full-stack engineers use it and cross-pollination is valuable.

Location Requirement:
This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces.

The estimated annual cash salary for this role is CAD $90,000 - CAD $120,000. This position is also eligible for stock options, subject to the terms of Lattice’s applicable plans.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Life, AD&D, and Disability Insurance; Natural Disaster Support Program; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Working Remotely Stipend; One time WFH Office Set-Up Stipend; Retirement Plan; Financial Planning; and Learning & Development Budget.

Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.

Lattice welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process.

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