Collaborate with customers to design and implement enterprise wider agentic AI solutions at scale
Develop and maintain core software components for Agentic AI platforms
Implement secure, scalable integrations across cloud-native environments (AWS, Azure, GCP)
Collaborate and lead teams of architects and data engineers to deliver rapid MVP cycles, from concept to production deployment
Work directly with customers as a subject matter expert, providing thought leadership, delivering bespoke solutions, and driving innovation

Requirements

4+ years in AI/ML engineering experience, with 1 year experience developing Agentic AI Solutions
Strong proficiency in Python and AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face)
Experience with model training, fine-tuning, and deployment in production environments
Familiarity with cloud AI platforms (e.g., AWS AgenticAI, Google AI Platform, Azure AI Foundry) and distributed computing
Knowledge of data engineering tools (e.g., Pandas, Spark) and version control (e.g., Git)
Hands-on experience with generative models (e.g., GPT, Stable Diffusion, BERT) and their application in automation, content creation, or predictive tasks
Ability to tackle complex challenges, from dataset biases to model scalability, with creative and practical solutions
Capable of explaining AI concepts and trade-offs to technical and non-technical team members

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAI/ML frameworksTensorFlowPyTorchHugging Facemodel trainingfine-tuningdeploymentgenerative modelsdata engineering tools

Soft Skills

collaborationleadershipthought leadershipproblem-solvingcommunication