Senior AI Engineer

Quick Facts

• Role: Senior AI Engineer

• Work model: Fully remote

• Engagement: Full-time

Description

Lead the development of advanced AI solutions to address real business problems. Design agentic systems, machine learning models, and AI algorithms, build scalable data pipelines, and deploy production AI/ML systems in the cloud (AWS preferred). Collaborate with data scientists, data engineers, and cloud engineers to ensure reliability, performance, maintainability, and clear communication with stakeholders.

Responsibilities

• Design and develop agentic systems, machine learning models, and AI algorithms.

• Lead implementation of scalable AI products aligned with business and user needs.

• Deploy and operate AI/ML solutions in cloud environments; ensure reliability, performance, and maintainability.

• Design and oversee scalable data pipelines across cloud and hybrid environments.

• Lead data preprocessing, ingestion, and transformation.

• Establish data quality controls and monitor data drift.

• Guide model training, evaluation, tuning, and performance optimization.

• Integrate AI components into existing systems and workflows.

• Manage production deployments, monitoring, versioning, and maintenance.

• Gather requirements with stakeholders, deliver effective AI solutions, and maintain technical documentation.

• Communicate complex AI concepts to technical and non-technical audiences.

• Stay current with emerging AI technologies and experiment with new approaches.

Requirements

• Proven experience as an AI Engineer, Machine Learning Engineer, or similar role.

• Hands-on experience building and deploying AI and ML systems.

• Strong proficiency in Python.

• Experience with agentic frameworks (e.g., LangChain, pydantic-ai, strands, Agent-ai).

• Solid knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn).

• Experience in NLP, computer vision, or related AI domains.

• Familiarity with cloud platforms (AWS, Azure, or GCP).

• Strong analytical and problem-solving skills.

• Excellent communication skills.

• Experience working in cross-functional teams.

• Familiarity with Agile methodologies (Scrum, Azure DevOps).

Benefits

• B2B contract.

• Fully remote service delivery.

• Broad range of internal and international projects.

• Budget for skills development and certifications.

• Regular collaboration reviews and project-scope discussions.

• Additional benefits available through the collaboration.

• Networking and team-building events for project teams.