Senior​/Principal AI​/ML Engineer

JOB SUMMARY

We are a next-generation AI-powered Mar Tech 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.

• Architect and implement scalable LLM/GenAI systems optimized for Mar Tech/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 use cases such as entity recognition, intent classification, recommendation, and ranking using open‑source and proprietary datasets.
• Design and deploy agentic systems (multi‑agent pipelines using frameworks such as Lang Graph, Auto Gen, 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).
• Build robust data pipelines and model training loops that support rapid experimentation and deployment.
• Contribute to LLMOps practices, including model monitoring, evaluation, and continuous deployment.
• Collaborate 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.

• 6+ years of experience in ML/AI roles, with at least 2+ years building with LLMs/SLMs.
• Master’s degree in engineering or computer science, PhD preferred.
• Strong experience in Deep Learning & Natural Language Processing (PyTorch, or Tensor Flow).
• 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 (PGVector, Pinecone, FAISS, Redis Vector).
• Familiarity with agent‑based frameworks (MCP, A2A, Lang Graph, ReAct, Auto Gen, CrewAI, Lang Chain 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 batching 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 Mar Tech/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.

• Shape the AI core of an innovative Mar Tech/AdTech platform from the ground up.
• Work directly with leadership (C‑suite) on strategic technical vision.
• Help build a platform from 0→1 with a visionary leadership team.
• A mission‑driven team committed to ethical AI and transforming marketing for the better.
• Influence the architecture of next‑gen agentic AI systems.

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.

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.