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AI Engineering Lead

6 Locations💼 Full-time🗓 2026-06-17 → 2026-07-31

Core

Design and deliver advanced AI solutions, including ML models, LLM-based components, and scalable cloud deployments for enterprise clients.

Role type

Principal technical specialist / AI Engineering Lead

Builds

End-to-end AI systems, APIs, and scalable cloud deployments

Domain

Enterprise analytics, Generative AI, Cloud infrastructure

Deliverable

production ML models | product features | infrastructure

Required skills

Machine Learning, Artificial Intelligence, Python, .NET, Java, PyTorch, TensorFlow, Scikit-learn, Langchain, Langraph, SQL, Data Engineering, Apache Spark, Azure, AWS, GCP, DevOps, MLOps, CI/CD, Cloud-native practices, System Architecture, Technical Leadership

Preferred skills

PhD in Computer Science or related field, Experience with Agentic Workflows, Experience with large-scale datasets

Technologies

PyTorch, TensorFlow, Scikit-learn, Langchain, Langraph, Azure, AWS, GCP, Apache Spark

Responsibilities

Engage with business stakeholders to design AI-infused solutions, Lead architecture and delivery of AI systems, Drive technical decision-making and act as engineering advisor, Guide the AI engineering team on DevOps and SDLC best practices, Implement high-quality production-grade code, Integrate AI components with enterprise applications and third-party systems, Mentor junior engineers and lead knowledge-sharing initiatives, Support business development with technical proposals and presentations

Seniority

Principal, hands-on IC with strategic leadership

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