Clarvos LLC
Reports to: Chief Technology Officer
Department: ML GenAI Modeling
FLSA Category: Exempt
Position Type: Full-Time, Senior level
Travel Requirement: 0-10%, Quarterly for meetings
Office Location: Remote, US based
JOB SUMMARY
We are a next-generation AI-powered MarTech and AdTech startup on a mission to level the
playing field for small and medium-sized businesses (SMBs). By leveraging state-of-the-art
large language models (LLMs), agentic frameworks, and proprietary ML pipelines, we're
redefining how marketing and advertising ecosystems operate, with intelligence, scale, and
automation.
As a Senior/Principal LLM & ML Engineer, you'll be at the forefront of building our core
intelligence stack. You will lead the design and implementation of cutting-edge machine learning
systems, with a strong emphasis on LLMs/SLMs, agentic-based architectures, and real-time
inference to power next-gen marketing and advertising workflows.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
As a Senior/Principal LLM & ML Engineer, you'll play a foundational role in:
Architect and implement scalable LLM/GenAI systems optimized for MarTech/AdTech use cases (e.g., content generation, sentiment analysis, resonance analysis, recommended marketing strategies, campaign optimization, audience segmentation, personalization, targeting, etc.) Develop and fine-tune language models (LLMs/SLMs) for context-specific using open-source and proprietary datasets for use cases such as entity recognition, intent classification, recommendation, and ranking. Designing and deploying agentic systems (multi-agent pipelines using frameworks such as LangGraph, AutoGen, or CrewAI) Maintain best practices for model evaluation, A/B testing, and continuous learning in real-time production environments. Develop scalable training and inference infrastructure leveraging multi-GPU environments (A100/H100 preferred). Building robust data pipelines and model training loops that support rapid experimentation and deployment. Contribute to LLMOps practices, including model monitoring, evaluation, and continuous deployment. Collaborating with product, data, and engineering teams to turn AI prototypes into scalable production services. Rapidly prototype research-backed features by translating research papers into working code. KNOWLEDGE, SKILLS, ABILITIES, AND QUALIFICATIONS
6+ years of experience in ML/AI roles, with at least 2+ years building with LLMs/SLMs Strong experience in Deep Learning & Natural Language Processing (PyTorch, or TensorFlow) Hands-on experience with fine-tuning foundation models (LLaMA, Mistral, GPT-like models) and deploying inference pipelines. Proficiency with Hugging Face and popular LLM training & fine-tuning techniques (LoRA, PEFT, etc.) Experience with Vector/Semantic search, RAG pipelines, or embedding optimization (Pinecone, FAISS, Redis Vector) Familiarity with agent-based frameworks (LangGraph, ReAct, AutoGen, CrewAI, LangChain Agents, etc.). Experience with LLMOps tooling and frameworks (Weights & Biases, MLflow, Prompt Layer, etc.) Experience deploying ML systems in cloud environments (AWS, GCP, Azure) and using MLOps tools. Understanding of GPU/memory optimization, distributed training, and batch in strategies Strong software engineering skills (Python, APIs, microservices, containerization with Docker/K8s) Strong communication skills and ability to thrive in fast-paced, cross-functional teams. A major plus is knowledge of MarTech/AdTech data pipelines, targeting, or attribution models. Experience with real-time personalization systems or ad-serving infrastructure. Contributions to open-source LLM frameworks or research papers. Prior startup or growth-stage company experience. Why Join Us?
Shape the AI core of an innovative MarTech/AdTech platform from the ground up. Work directly with leadership (C-suite) on strategic technical vision. Help build a platform from 01 with a visionary leadership team. A mission-driven team committed to ethical AI and transform marketing for the better. Influence the architecture of next-gen agentic AI systems.
PHYSICAL REQUIREMENTS/WORKING CONDITIONS:
Standing/Walking/Mobility: Must have mobility to attend meetings remotely and in person.
Climbing/Stooping/Kneeling: 0% - 10% of the time.
Lifting/Pulling/Pushing: 0% - 10% of the time.
Fingering/Grasping/Feeling: Must be able to write, type and use a telephone system 100% of the time.
Sitting: Sitting for prolonged and extended periods of time.
This job description reflects management's assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Management may revise duties as necessary without updating this job description.
For more information about the company, please visit our website: https://clarvos.com/
Clarvos is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as veteran, disability or any other federal, state or local protected class.
Clarvos complies with federal and state disability laws and makes reasonable accommodation for applicants and employees with disabilities.
If you require reasonable accommodation in completing the application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to hrsupport@Clarvos.com.
Department: ML GenAI Modeling
FLSA Category: Exempt
Position Type: Full-Time, Senior level
Travel Requirement: 0-10%, Quarterly for meetings
Office Location: Remote, US based
JOB SUMMARY
We are a next-generation AI-powered MarTech and AdTech startup on a mission to level the
playing field for small and medium-sized businesses (SMBs). By leveraging state-of-the-art
large language models (LLMs), agentic frameworks, and proprietary ML pipelines, we're
redefining how marketing and advertising ecosystems operate, with intelligence, scale, and
automation.
As a Senior/Principal LLM & ML Engineer, you'll be at the forefront of building our core
intelligence stack. You will lead the design and implementation of cutting-edge machine learning
systems, with a strong emphasis on LLMs/SLMs, agentic-based architectures, and real-time
inference to power next-gen marketing and advertising workflows.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
As a Senior/Principal LLM & ML Engineer, you'll play a foundational role in:
Architect and implement scalable LLM/GenAI systems optimized for MarTech/AdTech use cases (e.g., content generation, sentiment analysis, resonance analysis, recommended marketing strategies, campaign optimization, audience segmentation, personalization, targeting, etc.) Develop and fine-tune language models (LLMs/SLMs) for context-specific using open-source and proprietary datasets for use cases such as entity recognition, intent classification, recommendation, and ranking. Designing and deploying agentic systems (multi-agent pipelines using frameworks such as LangGraph, AutoGen, or CrewAI) Maintain best practices for model evaluation, A/B testing, and continuous learning in real-time production environments. Develop scalable training and inference infrastructure leveraging multi-GPU environments (A100/H100 preferred). Building robust data pipelines and model training loops that support rapid experimentation and deployment. Contribute to LLMOps practices, including model monitoring, evaluation, and continuous deployment. Collaborating with product, data, and engineering teams to turn AI prototypes into scalable production services. Rapidly prototype research-backed features by translating research papers into working code. KNOWLEDGE, SKILLS, ABILITIES, AND QUALIFICATIONS
6+ years of experience in ML/AI roles, with at least 2+ years building with LLMs/SLMs Strong experience in Deep Learning & Natural Language Processing (PyTorch, or TensorFlow) Hands-on experience with fine-tuning foundation models (LLaMA, Mistral, GPT-like models) and deploying inference pipelines. Proficiency with Hugging Face and popular LLM training & fine-tuning techniques (LoRA, PEFT, etc.) Experience with Vector/Semantic search, RAG pipelines, or embedding optimization (Pinecone, FAISS, Redis Vector) Familiarity with agent-based frameworks (LangGraph, ReAct, AutoGen, CrewAI, LangChain Agents, etc.). Experience with LLMOps tooling and frameworks (Weights & Biases, MLflow, Prompt Layer, etc.) Experience deploying ML systems in cloud environments (AWS, GCP, Azure) and using MLOps tools. Understanding of GPU/memory optimization, distributed training, and batch in strategies Strong software engineering skills (Python, APIs, microservices, containerization with Docker/K8s) Strong communication skills and ability to thrive in fast-paced, cross-functional teams. A major plus is knowledge of MarTech/AdTech data pipelines, targeting, or attribution models. Experience with real-time personalization systems or ad-serving infrastructure. Contributions to open-source LLM frameworks or research papers. Prior startup or growth-stage company experience. Why Join Us?
Shape the AI core of an innovative MarTech/AdTech platform from the ground up. Work directly with leadership (C-suite) on strategic technical vision. Help build a platform from 01 with a visionary leadership team. A mission-driven team committed to ethical AI and transform marketing for the better. Influence the architecture of next-gen agentic AI systems.
PHYSICAL REQUIREMENTS/WORKING CONDITIONS:
Standing/Walking/Mobility: Must have mobility to attend meetings remotely and in person.
Climbing/Stooping/Kneeling: 0% - 10% of the time.
Lifting/Pulling/Pushing: 0% - 10% of the time.
Fingering/Grasping/Feeling: Must be able to write, type and use a telephone system 100% of the time.
Sitting: Sitting for prolonged and extended periods of time.
This job description reflects management's assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Management may revise duties as necessary without updating this job description.
For more information about the company, please visit our website: https://clarvos.com/
Clarvos is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as veteran, disability or any other federal, state or local protected class.
Clarvos complies with federal and state disability laws and makes reasonable accommodation for applicants and employees with disabilities.
If you require reasonable accommodation in completing the application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to hrsupport@Clarvos.com.