HV Talent

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AI & LLM Implementation Specialist

  • Jobs, Tech
  • 100% Remote, Buenos Aires CABA
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Design, integrate, and optimize generative artificial intelligence solutions based on Large Language Models (LLMs), tailored to the organization's internal environments and data. The primary goal is to implement AI services and APIs to develop conversational assistants, automated analytics tools, and intelligent internal support systems.

Location and Modality

📍 Based in Argentina
💻 Remote work

Key Responsibilities

    • Design and implement integrations with LLM APIs (OpenAI, Gemini, Vertex, Anthropic, etc.).

    • Develop internal ChatGPT-style applications (enterprise chatbots, documentation assistants, data query systems).

    • Create and maintain pipelines for structured and unstructured data to feed AI models.

    • Configure and optimize cloud environments (Google Cloud, Vertex AI) for deploying and running AI solutions.

    • Implement security, privacy, and access-control mechanisms to protect corporate data.

    • Collaborate with development and business teams on prompt design, context management, and conversational flows.

    • Document implementations, endpoints, and optimization strategies to facilitate scalability and maintainability.

    • Integrate AI solutions with internal systems through REST APIs, webhooks, or backend services.

Required Technical Skills

    • LLM API integration: OpenAI, Google Gemini, Vertex AI, Anthropic, Hugging Face.

    • Google Cloud Platform: Vertex AI, Cloud Functions, Cloud Run, IAM, DataStore / BigQuery.

    • Programming languages: Python, C#, Node.js, or Java.

    • Frameworks: FastAPI, Flask, .NET WebAPI.

    • Databases: SQL, MongoDB, Firestore.

    • Data processing: structuring and cleaning data to improve LLM context.

    • Corporate AI architecture: security, logging, metrics, audits.

    • Version control and deployment: GitHub/GitLab, CI/CD, cloud environments.

Preferred (not mandatory)

    • Embeddings and vector databases (Pinecone, FAISS, Milvus).

    • Docker and Kubernetes.

    • Corporate AI security (encryption, anonymization, access control).

    • Experience working with multi-LLM environments and selecting models based on use case.

Candidate Profile

    • Degree in Systems Engineering, Computer Science, or a related field.

    • 1+ year of experience in cloud services integration and applied AI.

    • Strong analytical and problem-solving skills.

    • Ability to translate business requirements into technical AI solutions.

    • Experience working in agile and collaborative environments.

Application

If you’re ready for your next step, we’d love to hear from you!

Apply now

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We specialize in technology. We work with software engineers, database specialists, servers, infrastructure, security, telecommunications, electronics, datacenters, and scientists.

  • Profile assessment
    We start by working together with the client to deeply understand the desired profile, technical and cultural requirements, and the hiring objectives.

 

  • Job posting and publication
    We write a job ad aligned with the defined profile. We publish it through the most effective recruitment channels and share it with relevant candidates from our database.

 

  • Search, interviews, and evaluation
    We interview the candidates who best fit the profile. After the interviews, we select the most qualified and prepare a detailed report describing how each one aligns with the job requirements.

 

  • Coordination of the process with the client
    We coordinate all interviews between the client and candidates. We support each stage and provide ongoing support and feedback.

 

  • Closing and onboarding terms
    If the client requests it, we facilitate the negotiation of terms and onboarding, ensuring a smooth and favorable closure for both parties.

We offer different hiring models to adapt to the way our clients operate and to the nature of each project. Our services are available for those who need either a single talent or a complete team. We have global presence and operational proximity.

 

Hourly
Ideal for specific tasks, technical support, or sporadic needs. You are billed only for the time actually worked.

 

Project-based
Model with defined scope, deadlines, and deliverables. Provides budget clarity and centralized management of the assigned team.

 

Monthly (Time & Materials)
Ongoing hiring model with a monthly rate per professional. Allows you to dynamically scale resources based on project progress.

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