Senior Generative AI Engineer — Remote

Hire Feed; Mexico; On-site; PHP 7,524,000 - 11,285,000; Full time

Job summary

Hire Feed is seeking a Senior LLM Engineer to design, build, and deploy generative AI and LLM-based solutions in a full-time, remote capacity. The role emphasizes hands-on engineering in Python and modern LLM frameworks, with opportunities to influence roadmaps and collaborate across teams.

You'll work on scalable AI systems, contribute to architecture and performance improvements, and translate business needs into production-ready solutions while coordinating with global stakeholders.

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.

Responsibilities

• Design and build 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

Skills

Python

SQL

LangChain

LLM frameworks

Prompt engineering

Embeddings

Vector databases

Agent workflows

Cloud platforms (AWS/Azure/GCP)

Communication & stakeholder management

Tools

AWS

Azure

GCP

Job description

Hire Feed is seeking a Senior LLM Engineer to design, build, and deploy generative AI and LLM-based solutions in a full-time, remote capacity. The role emphasizes hands-on engineering in Python and modern LLM frameworks, with opportunities to influence roadmaps and collaborate across teams.

You'll work on scalable AI systems, contribute to architecture and performance improvements, and translate business needs into production-ready solutions while coordinating with global stakeholders.