AI Engineer - Generative AI (Remote)

Hire Feed

Ferrara

Remoto

EUR 105.000 - 140.000

Tempo pieno

6 giorni fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Hire Feed is seeking a Senior LLM Engineer to design, build and deploy generative AI solutions. This remote, full-time role emphasizes Python-driven development, LangChain-based pipelines, and production-grade systems with solid cloud experience.

You will translate business needs into scalable AI architectures and collaborate across teams to shape the technical roadmap for LLM initiatives. The position offers remote work from anywhere, engaging with a global leader in AI applications and

Competenze

  • 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.

Mansioni

  • 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

Conoscenze

Python
SQL
LLM frameworks
prompt engineering
LLM internals
embeddings
vector databases
agent workflows
Cross-team collaboration
System-level thinking

Strumenti

LangChain
AWS
Azure
GCP
Kubernetes

Descrizione del lavoro

  • 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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