Lattice · 1 day ago
Staff AI Engineer
Maximize your interview chances
Enterprise ApplicationsHuman Resources
H1B Sponsor Likely
Insider Connection @Lattice
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
You will design and build end-to-end architectures for AI/ML solutions, including data pipelines, model development, and production deployment.
You will develop, fine-tune, and optimize LLM-based solutions for Lattice’s talent platform and product suite.
You will drive architectural decisions, balancing trade-offs between scalability, latency, accuracy, and cost.
You will implement AIOps practices, including CI/CD pipelines, feature flagging, model monitoring, and performance optimization.
You will 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.
You will 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.
You'll 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.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
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.
Deep expertise in AI/ML concepts, including LLMs, model fine-tuning, and traditional ML techniques (supervised / unsupervised systems or neural networks).
Experience with advanced LLM techniques: Retrieval-Augmented Generation (RAG), RLHF, or LoRA.
Strong programming skills in Python, with hands-on experience in frameworks like PyTorch, TensorFlow, Hugging Face Transformers, or LangChain.
Expertise in MLOps: deployment (Docker, Kubernetes, Terraform and/or CDK), model monitoring (MLflow, DataDog, etc), and CI/CD workflows.
Proficient in the AWS ecosystem (Lambdas, SQS, SNS, etc) and data engineering tools for large-scale datasets.
Excellent problem-solving, system design, and technology decision-making skills.
Strong communication and collaboration skills to lead projects and mentor junior team members, and to also collaborate with product and executives.
Preferred
Experience with agentic AI or building multi-agent systems.
Experience with cloud-based ML services (e.g., AWS SageMaker, Google Cloud AI, Azure Machine Learning).
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).
Professional experience in at least two cloud platforms (AWS, GCP, Azure).
Knowledge of optimization and scaling tools like Ray, Spark, or distributed training systems.
Familiarity with hybrid solutions combining traditional ML and LLMs.
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
Company
Lattice
Lattice is a people success platform that help business leaders develop engaged, high-performing employees, and winning cultures.
H1B Sponsorship
Lattice has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2022 (1)
2021 (3)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$330.32MKey Investors
Tiger Global ManagementShasta VenturesThrive Capital
2022-01-19Series F· $175M
2021-03-23Series E· $60M
2020-07-14Series D· $45M
Recent News
2024-12-11
2024-11-08
Company data provided by crunchbase