We are looking for a highly skilled Lead Engineer – AI/ML with strong expertise in Large Language Models (LLMs) and to design, build, and deploy enterprise-scale AI applications.
The ideal candidate should have hands-on experience building LLM-powered applications, designing AI agents, orchestrating multi-agent workflows, and developing intelligent automation solutions using modern Generative AI technologies.
WHAT YOU'LL DO
- Design, develop, and deploy AI applications powered by Large Language Models (LLMs)
- Build and optimize Multi-Agent Systems for complex reasoning, planning, and task execution
- Develop production-ready applications using Generative AI, Prompt Engineering, and Retrieval-Augmented Generation (RAG)
- Fine-tune, evaluate, and optimize LLMs for enterprise use cases
- Develop reusable Python libraries and AI frameworks
- Build scalable APIs and microservices for AI applications
- Integrate AI models with enterprise systems, databases, and external APIs
- Collaborate with Product, Engineering, and Data Science teams to deliver innovative AI solutions
- Mentor engineers and provide technical leadership on AI initiatives
WHAT YOU'LL NEED
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- 8+ years of software engineering experience
- Proven experience building and deploying LLM-based applications in production
- Strong experience with Multi-Agent Systems
- Professional experience developing Python libraries for machine learning applications
- Strong analytical, problem-solving, and communication skills
- Large Language Models (LLMs)
- Experience with: Multi-Agent Systems, Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Databases , REST APIs, Docker, Git, and AWS / Azure / GCP
NICE TO HAVE
- Master's degree preferred
- Strong understanding of LLM architectures and Generative AI
- Hands-on experience building intelligent AI agents and multi-agent workflows
- Experience designing scalable AI systems for production environments
- Ability to lead technical discussions, mentor engineers, and drive AI innovation
- Excellent communication and stakeholder management skills
- Experience with Typescript, Model Context Protocol (MCP), Fine-tuning LLMs, Semantic Search, MLflow, FastAPI
- Familiarity with CRMs
ABOUT US
Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.
Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.
The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.
Skills Required
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
- 8+ years of software engineering experience
- Proven experience building and deploying LLM-based applications in production
- Strong experience with Multi-Agent Systems
- Professional experience developing Python libraries for machine learning applications
- Knowledge of Large Language Models (LLMs)
- Experience with Prompt Engineering
- Experience with Retrieval-Augmented Generation (RAG)
- Experience with Vector Databases
- Experience building and integrating REST APIs
- Experience with Docker
- Experience with Git
- Experience with AWS, Azure, or GCP
- Strong analytical, problem-solving, and communication skills
- Master's degree
- Strong understanding of LLM architectures and Generative AI
- Hands-on experience building intelligent AI agents and multi-agent workflows
- Experience designing scalable AI systems for production environments
- Ability to lead technical discussions and mentor engineers
- Experience with Typescript
- Experience with Model Context Protocol (MCP)
- Experience with Fine-tuning LLMs
- Experience with Semantic Search
- Experience with MLflow
- Experience with FastAPI
- Familiarity with CRMs
Code and Theory Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Code and Theory and has not been reviewed or approved by Code and Theory.
-
Leave & Time Off Breadth — Time-off policies include an “unlimited”/flexible PTO approach with paid holidays/sick time and seasonal early-close Fridays, offering notable flexibility. These options provide additional downtime beyond standard accrual models.
-
Healthcare Strength — Core medical, dental, and vision coverage is part of the standard package, with employer-verified health plan information cited as current. Life and disability insurance further reinforce foundational coverage.
-
Retirement Support — A 401(k) with employer match is included in the package, supporting long-term savings. Candidates are encouraged to confirm the match formula during the offer stage.
Code and Theory Insights
What We Do
Code and Theory is a strategically driven, digital-first creative agency that lives at the intersection of creativity and technology. We solve consumer and business problems across the entire customer journey that flex to meet the ever-changing needs of consumer expectations. We put the user, their behaviors and needs, at the center of everything we do — from our proprietary research methodologies, to product development processes, to how we create brand, channel and messaging strategies. Our goal is simple: to solve our clients business problems. We bring big ideas to life by looking holistically at brand ecosystems where digital plays a prominent role in driving the consumer from first-touch through to conversion to relationship deepening over time. We identify gaps in the consumer journey and opportunities in culture that require products, services or communications to fill. We work across categories, ranging as far and wide as health care (Pfizer, Sanofi, Reach MD, Bioreference Laboratories) to financial services (JP Morgan Chase, Prudential, Morgan Stanley, First Data) to cpg (Mars, Unilever, Johnson & Johnson) to technology companies (Facebook, Xerox, Samsung, Comcast) to culture brands (adidas, H&M). And because our DNA is in publishing — we’ve embedded in over 135 newsrooms in the past decade — we bring unique expertise in understanding how content is created, distributed and optimized, including our work with CNN, NBC News, NBC Sports, and Bustle Digital Group. At Code and Theory, we strive to only be limited by our own ambition and creativity. We believe in pushing our creativity beyond the easy and obvious answers in order to deliver the solutions that are right for our clients, their businesses, and their consumers.
Gallery
