Senior Staff AI Engineer

This is Engineering at Lattice

Lattice's Engineering team is dedicated to building cutting-edge solutions that empower people and organizations to thrive. We leverage a modern tech stack designed for productivity and joy, prioritizing maintainable, robust, and performant code. Our culture emphasizes collaboration, iteration, and innovation, working closely with designers and product managers to deliver exceptional technical architecture and user experiences.

What You Will Do

As a Senior Staff AI Engineer, you will play a strategic leadership role in shaping Lattice's artificial intelligence initiatives. Your work will have a significant, organization-wide impact, driving the development of AI systems, particularly focusing on large language models (LLMs) and advanced machine learning technologies, while mentoring and empowering engineering teams to achieve technical excellence.

• Contribute to Lattice's AI strategy by influencing technical and non-technical decisions to align cross-functional teams with organizational goals.
• Use  your expertise to propose appropriate AI solutions to business problems, considering potential options in terms of customer value, cost and security. 
• Lead technical evaluations of AI/ML vendors and platforms, providing strategic recommendations on build vs. buy decisions for AI infrastructure.
• Serve as a subject-matter expert, influencing and aligning organizational goals with technical possibilities in the AI domain.
• Identify long-term AI opportunities and spearhead technical initiatives that adapt to future needs.
• Design and lead the implementation of end-to-end architectures for AI/ML solutions, encompassing data pipelines, model development, integrating with existing products, deployment, and monitoring.
• Develop and optimize LLM-based solutions tailored to Lattice’s people platform and product suite, ensuring scalability, latency, accuracy, and cost-efficiency.
• Establish best practices for AI development, including AIOps practices such as CI/CD pipelines, feature flagging, and real-time model monitoring.
• Mentor and guide engineers across the organization, fostering a culture of innovation and inclusion while promoting technical growth.

What You Will Bring to the Table

• Experience: 10+ years of professional experience in software engineering, with at least 5 years of hands-on experience designing and deploying scalable AI/ML, primarily LLM, systems in production environments.
• LLM Expertise: Deep expertise in LLM techniques, including prompt engineering, RAG, fine-tuning, RLHF, LoRA, and vector databases.
• AIOps Leadership: Hands-on experience with AIOps tools such as Docker, Kubernetes, Terraform/CDK, MLflow, and DataDog for deployment, monitoring, and CI/CD workflows.
• Technical Depth: Expertise in Python (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain) and cloud platforms, particularly AWS (Lambda, SQS, SNS), with a strong understanding of large-scale data engineering.
• System Design: Exceptional end to end system design and well rounded architecture skills, capable of solving open-ended problems with innovative solutions.
• Strategic Thinking: Proven ability to align technical work with larger business and organizational goals, exercising judgment to prioritize impactful outcomes.
• Leadership and Mentorship: Strong track record of influencing and mentoring engineers and cross-functional teams, fostering alignment and collaboration across departments.
• A strong commitment to Lattice’s mission and values, including Ship Shipmate Self, Clear Eyes, Own The Outcome, and What’s Next?

Nice to Have

• Familiarity with hybrid solutions combining traditional ML and LLMs, or multi-agent systems.
• Experience with cloud-based AI services (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)
• Published research or professional presentations on AI topics.
• Proficiency in multi-cloud environments (AWS, Azure, GCP).

The estimated annual cash salary for this role is $218,500 - $273,000. 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.