Staff Ai Engineer

Summary

Join Lattice's AI Engineering team and lead the charge in shaping the company's artificial intelligence strategy. You will design and build end-to-end AI/ML solutions, focusing on large language models (LLMs) and emerging technologies. Develop, fine-tune, and optimize LLM-based solutions for Lattice's platform. Drive architectural decisions, implement AIOps practices, and collaborate cross-functionally. Mentor junior engineers and lead technical evaluations of AI/ML vendors. This role requires 8+ years of experience in software development, with at least 4 years in designing and implementing scalable AI/ML systems.

Requirements

• Have 8+ years of professional experience writing and maintaining production-level applications, with at least 4 years in designing and implementing scalable AI/ML systems in production
• Have deep expertise in LLM concepts including prompt engineering, AI feature evaluation metrics, model fine-tuning, knowledge of vector DBs, etc
• Have experience with advanced LLM techniques, at a minimum with Retrieval-Augmented Generation (RAG), and understanding or exposure to RLHF, or LoRA
• Have experience or knowledge of ML traditional techniques (supervised / unsupervised systems or neural networks) and be able to pin point when a solution requires an LLM solution or an ML solution
• Have strong programming skills in Python, with hands-on experience in frameworks like PyTorch, TensorFlow, Hugging Face Transformers, or LangChain
• Have expertise in MLOps: deployment (Docker, Kubernetes, Terraform and/or CDK), model monitoring (MLflow, DataDog, etc), and CI/CD workflows
• Be proficient in the AWS ecosystem (Lambdas, SQS, SNS, etc) and data engineering tools for large-scale datasets
• Have excellent problem-solving, system design, and technology decision-making skills
• Have strong communication and collaboration skills to lead projects and mentor junior team members, and to also collaborate with product and executives

Responsibilities

• Lead and shape Lattice's artificial intelligence strategy
• Build software to help the humans powering organizations thrive, with a particular focus on large language models (LLMs) and emerging machine learning technologies
• Design and build end-to-end architectures for AI/ML solutions, including data pipelines, model development, and production deployment
• Develop, fine-tune, and optimize LLM-based solutions for Lattice’s talent platform and product suite
• Drive architectural decisions, balancing trade-offs between scalability, latency, accuracy, and cost
• Implement AIOps practices, including CI/CD pipelines, feature flagging, model monitoring, and performance optimization
• Work at a strategic level to influence technical decisions by collaborating cross-functionally with product managers, data scientists, and engineers to deliver AI-driven features aligned with business goals
• Mentor and guide engineers of various experiences in AI engineering, establishing best practices for software and AI development, standardizing and evangelizing AI engineering in our team
• Lead technical evaluation of AI/ML vendors and platforms, making strategic recommendations on build vs. buy decisions for our AI infrastructure, from LLM providers to security and monitoring solutions

Preferred Qualifications

• Have familiarity with hybrid solutions combining traditional ML and LLMs
• Have experience with agentic AI or building multi agent systems
• Have experience with cloud-based ML services (e.g., AWS SageMaker, Google Cloud AI, Azure Machine Learning)
• Have experience with TypeScript / Javascript as it is our current programming language (Our current stack includes NodeJS, GraphQL, and PostgreSQL. We rely on AWS to host our infrastructure)
• Have professional experience with multiple cloud platforms (AWS + others such as Azure or GCP)
• Have a track record of publishing or presenting on artificial intelligence and machine learning topics in professional forums

Benefits

• 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
• Workplace Amenities Stipend
• Internet and Phone Stipend
• One time WFH Office Set-Up Stipend
• 401(k) retirement plan
• Financial Planning
• Learning & Development Budget
• Sabbatical Program
• Invest in Your People Fund
• Incentive stock options