Lead technical design and development of production AI systems combining multiple models. Build prototypes, production code, reusable libraries, oversee architecture, integrations, QA, and client-facing project leadership.
Lead AI Engineer
Team: Technology + Engineering
We are seeking a highly skilled Lead Full Stack Engineer to join our dynamic team. This project lead role will require a mix of creative technology, R&D, collaboration, and hands-on development work to deliver AI-powered tools and experiences for our clients. You will collaborate with cross-functional contributors, including creative directors, UI designers, content designers, and producers. You will also play a pivotal role in representing Addition at a project level to our clients, where you will represent our work and team.
Key Responsibilities:- Project Leadership: Lead the project design and development of AI Systems to power internal workflows and tools, content at scale, and digital or physical experiences.
- Product Management: Oversee technical architecture, scoping, coding, code reviews, integration, and communication with internal and client technology stakeholders.
Coding: Develop rapid prototypes to facilitate team alignment, explore what’s possible, and contribute meaningful production code to projects to ensure their success.
- Productization: Help facilitate a repository of reusable code snippets, techniques, and libraries that can be applied to streamline the development of future projects and enable technology team members to operate more effectively.
- Quality and Safety: Work with internal and external QA and AI safety teams to ensure that products are delivered at the highest level of quality and AI safety.
Qualifications:
- Experience:
- 3+ years of experience incorporating foundation models such as LLMs and Image Generation models into complex, multi-function AI Systems.
- 5+ years leading creative technology projects with cross-functional teams.
- 10+ years of experience developing software systems in a professional setting.
- A BS or MS in computer science or a similar field is preferred.
- Technical Skills:
- Experience architecting and developing AI Systems that employ an ensemble approach to combine multiple AI models
- Some expertise with Generative AI models such as LLMs and image and/or video-based Diffusion Models
- Experience using AI tools to assist in software development
- Fluency in front-end development techniques in React.js and related libraries such as NEXT.js
- Fluency in back-end development techniques in Python, as well as database technologies and cloud computing platforms
- Dev ops experience with database technologies and cloud computing platforms
- Creative Skills:
- Understanding of design thinking, storytelling, and a passion for innovative, interactive experiences.
- Communication:
- Excellent communicator, adept at collaborating with cross-functional teams and stakeholders.
R/GA New York, New York, USA Office
New York, NY, United States
R/GA New York, New York, USA Office
New York, United States
Similar Jobs
Aerospace
Lead architect and hands-on builder for AI solutions: evaluate feasibility and data readiness, translate business problems into technical and algorithmic requirements, design high-level architectures and prototypes, drive PoC to production handover, set MLOps/API standards, mentor team, and align North American implementations with European enterprise governance.
Top Skills:
BigQueryClaude CodeCodexDockerFirebaseGcp Cloud RunGemini CliGoogle Enterprise Agent Platform (Adk/Vertex Ai)KubernetesLanggraphMllib (Pyspark)PostgresPythonPyTorchRagReactScikit-LearnStreamlitTensorFlow
Information Technology • Consulting
As a Lead FullStack Software Engineer, you'll develop high-traffic websites, integrate AI into workflows, adhere to coding best practices, and maintain systems in a collaborative environment.
Top Skills:
Ai ToolingAngularAPIsAWSC#CSSDatadogDockerGitGraphQLHTMLJavaScriptNew RelicNext.JsNode.jsNoSQLReactRedisSQLTerraformTypescriptVue
Healthtech
Lead the engineering team at Luna Joy, designing scalable software solutions and mentoring junior engineers while ensuring system performance and compliance with regulations.
Top Skills:
AngularAWSAzureCi/CdDockerGitGCPJavaScriptKubernetesMySQLNode.jsPostgresPythonReactRubyVue
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
