Senior AI Engineer – Digital Product Development
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Job Description
Senior Generative AI Engineer designing and deploying production-grade AI solutions for enterprise clients. Collaborating with teams to solve complex problems and develop scalable AI architectures.
Responsibilities:
- Design, develop, and deploy generative AI systems in production environments.
- Build and maintain robust evaluation frameworks to assess model performance, reliability, and safety.
- Design and optimize Retrieval-Augmented Generation (RAG) pipelines.
- Work with multiple LLMs, model providers, and AI frameworks to select the best solution for each use case.
- Develop agentic and multi-agent systems to solve complex workflows and reasoning tasks.
- Own the full lifecycle of enterprise AI projects, from discovery and prototyping to deployment and iteration.
- Collaborate closely with data engineers, backend engineers, product managers, and clients.
- Contribute to best practices, architecture decisions, and technical standards across AI initiatives.
Requirements:
- 5+ years of industry experience, including 2+ years focused on generative AI systems (10+ years total experience strongly preferred).
- Strong proficiency in Python.
- Proven experience delivering generative AI solutions to production in an enterprise setting.
- Evaluation frameworks and AI testing strategies
- RAG system development and optimization
- Agentic and multi-agent architectures
- Familiarity with a variety of LLMs, tools, and AI frameworks.
- Comfortable working end-to-end across the AI project lifecycle.
- Strong problem-solving mindset; able to move forward amid ambiguity.
- Collaborative, collegial, and delivery-focused.
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