Senior Staff AI Engineer

Summary

Join Lattice's Engineering team as a Senior Staff AI Engineer and play a strategic leadership role in shaping Lattice's AI initiatives. You will significantly impact the organization by developing AI systems, particularly focusing on LLMs and advanced machine learning technologies. Lead technical evaluations of AI/ML vendors, propose AI solutions to business problems, and design end-to-end architectures for AI/ML solutions. Mentor and guide engineers, fostering innovation and inclusion. This role requires 10+ years of software engineering experience, including 5+ years of hands-on experience with scalable AI/ML systems. Deep expertise in LLM techniques and AIOps tools is essential. The estimated annual cash salary is $218,500 - $273,000, and the position is eligible for incentive stock options.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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)

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