DescriptionMod Op is redefining how marketing gets done. Were building AI-enabled solutions that transform creativity strategy and execution. We are reimagining how the agency-client and business-consumer/client value equation looks feels and delivers unforgettable experiences and services at scale.
As an AI Engineer on Mod Ops Innovation Team youll help build the future of marketing by combining data behavioral insights and cutting-edge AI technology to create intelligent tools and agents that elevate creativity drive efficiency and unlock growth for global brands.
Youll work alongside strategists data scientists creatives and technologists to design and deploy bespoke AI solutions that scale across industries like CPG entertainment food & beverage and B2B. Your curiosity about human behavior and your drive to experiment will power innovations that reshape how customers discover engage with and buy products and services.
This is not a lab role. It is a build test learn and ship role. Youll help Mod Op and our clients evolve faster smarter and more humanly.
Responsibilities
Design comprehensive AI system architectures taking responsibility for selecting models (e.g. LLMs traditional ML or hybrid approaches) determining the use of RAG versus fine-tuning or agentic workflows and overseeing data pipelines vector stores orchestration and observability.
Proactively assess scale latency cost and reliability tradeoffs collaborating with IT to devise solutions and monitoring tools to prevent issues before they arise.
Partner with product strategy and executive stakeholders to define the problems at hand transform ambiguous goals into specific solutions and requirements and establish and promote shared success metrics.
Work alongside UX/UI and Solution Architects to create and implement evaluation criteria for AI outputs (such as quality bias drift and hallucinations) throughout the design prototyping development and production phases.
Take ownership of and document data privacy security and compliance considerations including establishing clear guidelines on issues like prompt injection IP leakage bias brand risks model limitations failure modes and established human escalation paths.
Evaluate cost-to-value tradeoffs incorporating active optimization of token usage caching strategies and model routing while also considering future growth plans.
Provide strategic insights on roadmaps and intellectual property identifying reusable patterns that can add value or evolve into platforms internal tools and future features based on existing IP.
Stay at the frontier of AI innovation exploring emerging models frameworks and integrations that enhance our marketing ecosystem.
Requirements At least 8 years of experience in machine learning engineering AI/LLM integration or applied NLP
Degree in Computer Science Engineering or related field
AI/ML Engineering & Applied NLP
Demonstrated success in developing and deploying AI/LLM-based applications within production settings
Expertise in foundational models (GPT4o Claude Gemini Mistral etc.) and best practices for prompt engineering
Practical experience with vector databases (pgvector Pinecone Weaviate) and Retrieval-Augmented Generation (RAG) pipelines
Knowledge of orchestration frameworks such as LangChain or LlamaIndex
Proficiency in Python programming including experience with the OpenAI SDK Hugging Face or similar AI libraries
Experience in developing or integrating AI agents automation systems for creative tasks or recommendation systems
Experience in creating custom GPTs/Agents
Web Backend & Integrations
Proficient understanding of HTML CSS (SASS) and JavaScript (jQuery)
Proficiency with backend technologies such as PHP Java or Ruby
Working knowledge of third-party integrations APIs and backend services
Expertise in creating responsive accessible and high-quality websites and web applications
Product Experimentation & Evaluation
Comfortable running A/B tests evaluation frameworks and feedback loops for continuous AI improvement
Software Delivery & Collaboration Practices
Proficiency in Agile development methodologies
Experience with version control systems (e.g. Git)
Collaboration in crossfunctional teams with designers developers and strategists
Marketing Technology
Experience with marketing automation platforms such as ActiveCampaign Pardot or othersincluding landing pages automated workflows template creation and integrating websites and databases
Benefits- Health and Life Insurance for employees and family access to Vision benefits Telemedicine services Psychology support and others.
- On the job training and career growth opportunities.
- Access to LinkedIn courses.
- Fully remote job.
- Talented team environment collaborative offices fun company culture with a great balance of work and play.
- Vacations are granted by day or weeks according to employee approved request.
- Salary with yearly review and competitive benefits.
- Competitive compensation based on experience and skill set.
When asked what they love about working at Mod Op we hear:
- I feel I can be myself at work and its fun! -MV
- The caliber of the clients/brands we work with knowing your work is seen by thousands of people in many cases across the world. -JC
- We actually create videogames! -AC
- We have an all-star team and its like playing in the pro-bowl every day! -MW
- Opportunities to always learn from and work with the best and the brightest. HW
- Mentors and opportunities for growth. -KB
Mod Op LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws. This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.
Required Experience:
Senior IC
DescriptionMod Op is redefining how marketing gets done. Were building AI-enabled solutions that transform creativity strategy and execution. We are reimagining how the agency-client and business-consumer/client value equation looks feels and delivers unforgettable experiences and services at scale....
DescriptionMod Op is redefining how marketing gets done. Were building AI-enabled solutions that transform creativity strategy and execution. We are reimagining how the agency-client and business-consumer/client value equation looks feels and delivers unforgettable experiences and services at scale.
As an AI Engineer on Mod Ops Innovation Team youll help build the future of marketing by combining data behavioral insights and cutting-edge AI technology to create intelligent tools and agents that elevate creativity drive efficiency and unlock growth for global brands.
Youll work alongside strategists data scientists creatives and technologists to design and deploy bespoke AI solutions that scale across industries like CPG entertainment food & beverage and B2B. Your curiosity about human behavior and your drive to experiment will power innovations that reshape how customers discover engage with and buy products and services.
This is not a lab role. It is a build test learn and ship role. Youll help Mod Op and our clients evolve faster smarter and more humanly.
Responsibilities
Design comprehensive AI system architectures taking responsibility for selecting models (e.g. LLMs traditional ML or hybrid approaches) determining the use of RAG versus fine-tuning or agentic workflows and overseeing data pipelines vector stores orchestration and observability.
Proactively assess scale latency cost and reliability tradeoffs collaborating with IT to devise solutions and monitoring tools to prevent issues before they arise.
Partner with product strategy and executive stakeholders to define the problems at hand transform ambiguous goals into specific solutions and requirements and establish and promote shared success metrics.
Work alongside UX/UI and Solution Architects to create and implement evaluation criteria for AI outputs (such as quality bias drift and hallucinations) throughout the design prototyping development and production phases.
Take ownership of and document data privacy security and compliance considerations including establishing clear guidelines on issues like prompt injection IP leakage bias brand risks model limitations failure modes and established human escalation paths.
Evaluate cost-to-value tradeoffs incorporating active optimization of token usage caching strategies and model routing while also considering future growth plans.
Provide strategic insights on roadmaps and intellectual property identifying reusable patterns that can add value or evolve into platforms internal tools and future features based on existing IP.
Stay at the frontier of AI innovation exploring emerging models frameworks and integrations that enhance our marketing ecosystem.
Requirements At least 8 years of experience in machine learning engineering AI/LLM integration or applied NLP
Degree in Computer Science Engineering or related field
AI/ML Engineering & Applied NLP
Demonstrated success in developing and deploying AI/LLM-based applications within production settings
Expertise in foundational models (GPT4o Claude Gemini Mistral etc.) and best practices for prompt engineering
Practical experience with vector databases (pgvector Pinecone Weaviate) and Retrieval-Augmented Generation (RAG) pipelines
Knowledge of orchestration frameworks such as LangChain or LlamaIndex
Proficiency in Python programming including experience with the OpenAI SDK Hugging Face or similar AI libraries
Experience in developing or integrating AI agents automation systems for creative tasks or recommendation systems
Experience in creating custom GPTs/Agents
Web Backend & Integrations
Proficient understanding of HTML CSS (SASS) and JavaScript (jQuery)
Proficiency with backend technologies such as PHP Java or Ruby
Working knowledge of third-party integrations APIs and backend services
Expertise in creating responsive accessible and high-quality websites and web applications
Product Experimentation & Evaluation
Comfortable running A/B tests evaluation frameworks and feedback loops for continuous AI improvement
Software Delivery & Collaboration Practices
Proficiency in Agile development methodologies
Experience with version control systems (e.g. Git)
Collaboration in crossfunctional teams with designers developers and strategists
Marketing Technology
Experience with marketing automation platforms such as ActiveCampaign Pardot or othersincluding landing pages automated workflows template creation and integrating websites and databases
Benefits- Health and Life Insurance for employees and family access to Vision benefits Telemedicine services Psychology support and others.
- On the job training and career growth opportunities.
- Access to LinkedIn courses.
- Fully remote job.
- Talented team environment collaborative offices fun company culture with a great balance of work and play.
- Vacations are granted by day or weeks according to employee approved request.
- Salary with yearly review and competitive benefits.
- Competitive compensation based on experience and skill set.
When asked what they love about working at Mod Op we hear:
- I feel I can be myself at work and its fun! -MV
- The caliber of the clients/brands we work with knowing your work is seen by thousands of people in many cases across the world. -JC
- We actually create videogames! -AC
- We have an all-star team and its like playing in the pro-bowl every day! -MW
- Opportunities to always learn from and work with the best and the brightest. HW
- Mentors and opportunities for growth. -KB
Mod Op LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws. This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.
Required Experience:
Senior IC
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