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#944 - AI Engineer

Roles & Responsibilities

  • 5+ years of experience as an AI Engineer
  • Strong Python development skills, particularly around APIs, backend services, and AI/ML libraries
  • Familiarity with Vertex AI to build a production-grade ML pipeline with model retraining and monitoring
  • Experience building applications powered by OpenAI models and/or Bedrock foundation models, using frameworks like Langchain and LangGraph

Requirements:

  • Build and deploy AI-driven systems and applications using OpenAI, Amazon Bedrock, Langchain, and LangGraph
  • Prototype, fine-tune, and productionize LLM-based and retrieval-augmented generation (RAG) solutions; develop input/output guardrails to ensure model safety, reliability, and alignment with business goals
  • Design and maintain robust evaluation pipelines to monitor model performance, correctness, and drift over time
  • Collaborate with cross-functional partners in Product, Research, and Engineering to align technical work with business needs, and communicate technical concepts clearly to non-technical stakeholders and executive leadership

Job description

Job Opportunity only available for residents in Latin America.

As a AI Engineer, you will work across the full lifecycle of AI product development from prototyping and proof-of-concept, through to scalable production systems.

You will help shape our AI engineering best practices, contribute to infrastructure decisions, and play a pivotal role in our broader technical direction around AI/ML.

Our client is a global leader in the design and manufacture industry.

Requirements:

  • Advanced English for fluent communication (B2 or Higher).
  • 5+ years of experience as an AI Engineer.
  • Strong Python development skills, particularly around APIs, backend services, and AI/ML libraries.
  • Familiarity with Vertex AI ο»Ώto build a production-grade ML pipeline with model retraining and monitoring, among other tasks.
  • Experience building applications powered by OpenAI models and/or Bedrock foundation models, using frameworks like Langchain and LangGraph.
  • Ability to work autonomously to take projects from concept to production.
  • Excellent communication skills with the ability to explain technical details to diverse audiences.

Preferred:

  • Prior experience integrating AI/ML into production-grade systems at scale.
  • Exposure to Retrieval-Augmented Generation (RAG) pipelines and prompt engineering.
  • Experience contributing to architectural decisions for AI-driven platforms.

Key Responsibilities

  • AI Engineering:
    • Build and deploy AI-driven systems and applications using OpenAI, Amazon Bedrock, Langchain, and LangGraph.
    • Prototype, fine-tune, and productionize LLM-based and retrieval-augmented generation (RAG) solutions; develop input/output guardrails to ensure model safety, reliability, and alignment with business goals. Design and maintain robust evaluation pipelines to monitor model performance, correctness, and drift over time.
  • Collaboration & Communication:
    • Work closely with cross-functional partners in Product, Research, and Engineering to align technical work with business needs.
    • Communicate technical concepts clearly to non-technical stakeholders and executive leadership.

What do we offer?

  • Competitive salary in USD.
  • 100% Remote work.
  • Type of contract: Independent Contractor with Venon Solutions LLC.
  • Contract duration: Long-term.
  • Benefits: 2 weeks of PTO (paid time off).
  • Holidays: from the US' calendar.
  • Working hours: Full-time EST, fully committed.

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