Software Engineering Intern contributing to Tonal’s product roadmap while developing AI - assisted automation solutions. Collaborating with engineering teams to leverage new technologies and boost productivity.
About the role
- Senior Software Engineer developing AI evaluation frameworks and systems at Lattice. Engaging in building robust AI infrastructure and ensuring performance and reliability of AI products.
Responsibilities
- Design and ship a robust, end-to-end AI evaluation framework, covering offline evals, production tracing, and human-in-the-loop feedback loops, connected across all of Lattice’s AI use cases.
- Define and instrument the metrics that actually matter: agent task completion, hallucination rates, response quality, user engagement, and downstream business outcomes.
- Build and maintain evaluation datasets, test harnesses, and automated scoring pipelines to catch regressions before they ship.
- Identify and surface the drivers of agent quality improvement, giving the team clear signals on where to invest.
- Architect and implement reusable agent infrastructure: multi-turn conversation workflows, recommendation services, LLM DAGs, and standardized agent topology patterns using LangGraph.
- Build and scale RAG pipelines and retrieval infrastructure, including vector store management and retrieval quality optimization.
- Make principled build vs. buy decisions across LLM providers, agent frameworks, and evaluation tooling, balancing capability, cost, latency, and vendor risk.
- Contribute to production AI systems with a strong focus on reliability, observability, and performance, not just prototypes.
- Own projects end-to-end: scope them, drive them to completion, and bring in the right people at the right time.
- Partner with engineering leads and managers to inform technical direction on agent quality and evaluation strategy you’ll be expected to hold intelligent, substantive conversations about methodology, not just implementation.
- Raise the AI engineering bar across the broader team through code review, documentation, and thoughtful technical debate.
Requirements
- 5+ years of professional software engineering experience with significant time spent on production AI/ML systems.
- Deep hands-on experience with LLM-based systems: prompt engineering, RAG pipelines, agent orchestration, evaluation metrics, and model fine-tuning.
- Proven ability to work with data and understand statistics, especially in experiments.
- Proven ability to build and operate agentic AI systems in production: multi-step workflows, multi-agent topologies, and the failure modes that come with them.
- Strong command of AI evaluation: you’ve built eval frameworks before, you know the difference between a good eval and a vanity metric, and you have opinions about it.
- Production-grade Python engineering: clean, maintainable, testable code.
- LangGraph or comparable agent orchestration frameworks. You’ve built real agent workflows with it, not just tutorials.
- LangSmith or comparable LLM observability tooling for tracing, evaluation, and debugging.
- Reads AI papers & blogs regularly and is a trusted source of AI trends.
- Vector databases (Pinecone or similar) and retrieval system design.
- AWS ecosystem or other cloud infrastructure (ex GCP). Comfortable with lambdas, queues, and cloud-native architecture.
- Familiarity with TypeScript is a plus.
Benefits
- 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
- Learning & Development Budget
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Technical Lead specializing in mentorship and code quality at CanadaHelps, a leading charity platform. Driving team collaboration and delivering scalable software solutions for charitable donations.
Full Stack Developer for Signal49 Research, creating interactive dashboards and reporting tools. Work collaboratively with internal clients and data teams in a remote setting.
Renewables Lead Electrical Engineer driving growth and success in Ulteig’s electrical engineering offerings. Conducting system studies, mentoring, and leading projects in renewable energy sector.
Staff Software Engineer specializing in data infrastructure for Instacart's data governance and compute systems. Collaborating with engineering teams to enhance the platform's reliability and performance.
Senior Software Engineer focused on Docker Desktop's OS layer. Designing and maintaining key components for installation and system integration.
Principal Engineer designing mixed - signal IPs for Microchip Technology. Collaborating with SoC architects and managing IP intake processes for advanced analog solutions.
Principal Engineer for Mixed - Signal and analog IPs at Microchip, leading IP development and support with 10+ years experience required.
Principal Software Architecture Director overseeing software architecture and technology strategy at SGI. Providing guidance and mentorship while aligning with business goals in the insurance sector.
Senior Engineer leading design and implementation of protective relaying systems for BWRX - 300 Nuclear Reactor. Engaging in grid interface projects and customer technical assessments.