Ai Engineer - Generative Ai (Remote)
Pubblicato il 02-10-2026 - Hire Feed in Verona
Role
: AI Engineer - Generative AI (Remote)
Location
: Remote (Work from Anywhere)
Role Overview:
We are hiring for one of our clients, seeking a Senior LLM Engineer to work on a full-time basis.
This hands-on engineering role focuses on designing, building, and deploying generative AI and LLM-based solutions.
The position requires deep technical proficiency in Python and modern LLM frameworks, with contributions to roadmap development and cross-functional collaboration.
Key Responsibilities:
Design and develop generative AI and LLM-based systems using tools such as LangChain and retrieval-augmented generation (RAG) pipelines
Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions
Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives
Translate business needs into scalable, production-ready AI solutions
Contribute to architecture discussions, code reviews, and performance optimization
Required Skills & Qualifications:
Proficient in Python and SQL for AI system development
Experience with LangChain and modern LLM frameworks
Deep understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows
Background in machine learning or software engineering with system-level thinking
Experience working with cloud platforms such as AWS, Azure, or GCP
Ability to work independently while collaborating effectively across teams
Excellent communication and stakeholder management skills
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of advanced AI solutions.
The position involves close collaboration with business SMEs and data teams to ensure alignment of AI models with real-world use cases.
Equal Opportunity Employer:
We hire based on skills and expertise.
All qualified candidates are welcome regardless of background, experience, or prior employment history.
Applications are reviewed solely on demonstrated technical ability and qualifications.
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