Senior Software Engineer, AI

This is Engineering at Lattice

Lattice’s Engineering team is continuously working to better both our product and our craft. We use a modern, cutting-edge tech stack aimed at developer productivity and delight. We strive for maintainable, robust, and performant code. We’re highly collaborative and continuously iterative and work closely with designers and product managers. We prioritize not only great technical architecture but also an amazing product experience.

What You Will Do

You will build software to help the humans powering organizations thrive, with a focus on integrating AI/ML technologies, particularly large language models (LLMs) and potentially expanding further.

• You'll work with other engineers to build and own products across a modern tech stack. Our current stack includes NodeJS, GraphQL, and PostgreSQL. We rely on AWS to host our infrastructure.
• You'll design and implement systems to ensure high-quality outputs from non-deterministic AI/ML systems in production.
• You'll develop and maintain monitoring of evaluation systems for LLM-based applications.
• You'll assist in debugging and troubleshooting issues in existing applications, ensuring functionality and performance are optimized, with a particular focus on AI/ML components.
• You will drive the implementation of complex projects, including those that require cross-functional collaboration with product managers and other engineering teams.
• You will make contributions to our engineering practices, identifying and evangelizing improvements to improve our team output, especially in the context of AI/ML integration.

What You Will Bring to the Table

• You have 5+ years of professional experience writing and maintaining production-level applications, with at least 2 years of experience working with AI/ML technologies.
• You have production-level experience writing full stack code in a modern programming language like Python and JavaScript/TypeScript.
• You have experience implementing and maintaining AI/ML systems in production environments.
• You are familiar with best practices for deploying and monitoring non-deterministic AI systems in production.
• You are no stranger to SQL — you know how to efficiently model data and write performant queries in a relational database like PostgreSQL.
• You seek out the root cause when debugging software defects, including those related to AI/ML components, and champion improvements that prevent future issues.
• You are passionate about clean code, DRY patterns, and high-performance code, both in traditional software engineering and AI/ML contexts.
• You are clear and concise in explaining your thought process and in enumerating the tradeoffs made in your work, particularly when dealing with AI/ML systems.
• You have strong communication skills, both verbal and written, and can effectively explain complex AI/ML concepts to non-technical stakeholders.

Nice to Have

• Experience with TypeScript
• Familiarity with React and other frontend technologies
• Knowledge of AI/ML frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face Transformers
• Experience with cloud-based AI/ML services (e.g., AWS SageMaker, Google Cloud AI, Azure Machine Learning)
• Experience with LLMs in production environments

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The estimated annual cash salary for this role is $121,500 - $199,500. This position is also eligible for incentive 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; Vision insurance; Life, AD&D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter & Parking Accounts; Lunches in the Office; Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning & Development Budget; Sabbatical Program; and Invest in Your People Fund

*Note on Pay Transparency:

Lattice provides an estimate of the compensation for roles that may be hired as required by state 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.

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