Senior LLM Engineer

hace 2 semanas


Buenos Aires, Buenos Aires C.F., Argentina micro1 A tiempo completo

Job Description

Job Title:
Senior LLM Engineer

Job Type:
Full-time

Location:
Buenos Aires (Hybrid or Remote)

Experience:
4-6+ Years of Relevant Experience

Job Summary:

Join our team as a Senior LLM Engineer and play a pivotal role in designing, building, and optimizing next-generation Generative AI applications. You will leverage your expertise in Large Language Models, state-of-the-art AI platforms, and cloud technologies to deliver scalable, production-grade AI solutions. We value clear, impactful written and verbal communication as much as deep technical skill.

Responsibilities:

  1. Lead the architecture and implementation of GenAI systems — including RAG, multi-agent workflows, and autonomous reasoning frameworks.
  2. Architect and optimize complex data ingestion, embedding, and retrieval pipelines using vector databases.
  3. Build scalable, low-latency APIs and integrate LLM capabilities into production-grade platforms.
  4. Evaluate and select appropriate frameworks and tools (e.g., Neo4j vs. Neptune for graph data) based on project needs.
  5. Mentor junior engineers and drive best practices in system design and deployment.
  6. Oversee deployment architectures on AWS or Azure, ensuring reliability and cost efficiency.
  7. Innovate in emerging GenAI areas — multi-agent coordination, MCP, and agent-to-agent communication (A2A).
  8. Collaborate with leadership and cross-functional teams to align technical roadmaps with strategic goals.

Must-have Skills:

  1. Python
    : Expert. Strong design, debugging, and optimization capabilities.
  2. API Development
    : Advanced knowledge of FastAPI or equivalent frameworks.
  3. GenAI Stack
    : LangChain, LangGraph, LangSmith, and hands-on with multiple LLMs.
  4. RAG Expertise
    : End-to-end lifecycle mastery — from data processing to deployment.
  5. Architectural Thinking
    : Tool comparison, scalability, fault tolerance, performance trade-offs.
  6. Cloud/DevOps
    : Deep hands-on experience with AWS or Azure (infrastructure, monitoring, CI/CD).

Good-to-have Skills:

  1. Emerging Tech
    : MCP, A2A agents, advanced orchestration frameworks.
  2. Responsible AI
    : Experience applying governance and safety frameworks.
  3. Leadership
    : Mentorship, technical roadmap ownership, code review.
  4. Cross-System Integration
    : Familiarity with microservices, event-driven design, and messaging queues.


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