AI/ML Engineer Agents

AI/ML Engineer Agents

Location: Remote

Duration: 12+ months contract to hire.

About the Role

We are seeking an AI/ML Engineer Agents to help build the core intelligence layer of our AI-powered MarTech and AdTech platform. This role will focus on designing, developing, and deploying agentic AI systems, LLM-powered applications, and real-time inference pipelines that drive intelligent automation, personalization, and decision-making at scale.

This is a high-impact, hands-on engineering role for someone who thrives in fast-moving environments and wants to help shape next-generation AI products from the ground up.

Key Responsibilities

• Design and deploy agentic AI systems using frameworks such as LangGraph, AutoGen, CrewAI, or similar.
• Build and scale LLM/GenAI applications for MarTech and AdTech use cases, including content generation, campaign optimization, audience segmentation, personalization, and workflow automation.
• Fine-tune and optimize LLMs/SLMs for domain-specific tasks such as classification, extraction, recommendation, and intent understanding.
• Develop and manage training and inference pipelines for production-scale ML systems.
• Build scalable infrastructure for real-time and batch inference, experimentation, and deployment.
• Implement best practices for evaluation, A/B testing, model monitoring, and continuous improvement.
• Partner closely with product, data, and engineering teams to turn prototypes and research into production-ready AI services.
• Rapidly prototype and apply emerging research to practical product use cases.

Qualifications

• 3+ years of experience in AI/ML engineering, machine learning, or applied NLP roles.
• Master s degree in Computer Science, Engineering, or a related field required; PhD preferred.
• Hands-on experience with agent-based AI frameworks such as LangGraph, AutoGen, CrewAI, or similar.
• Strong expertise in deep learning and natural language processing using frameworks such as PyTorch or TensorFlow.
• Experience fine-tuning and deploying foundation models such as LLaMA, Mistral, or similar.
• Strong experience with Hugging Face, LoRA, PEFT, and modern fine-tuning workflows.
• Experience with RAG pipelines, vector databases, semantic search, and embedding optimization tools such as FAISS, Pinecone, or PGVector.
• Experience deploying ML systems in cloud environments such as AWS, Google Cloud Platform, or Azure.
• Strong software engineering skills in Python, APIs, microservices, and containerized environments such as Docker and Kubernetes.
• Solid understanding of GPU optimization, distributed training, and inference performance tuning.

Preferred Qualifications

• Experience in MarTech, AdTech, personalization, targeting, or attribution systems.
• Experience with real-time decisioning or ad-serving systems.
• Contributions to open-source AI/LLM frameworks or published research.
• Prior experience in a startup or high-growth environment.

Why This Role Matters

This role is central to building the intelligence and automation engine behind our platform. You will help shape how agentic AI is applied to marketing and advertising workflows, enabling smarter, faster, and more scalable solutions for businesses.