This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and UI design, managed services, product development, and software development.

This is your role

  • Design, develop, and implement GenAI-driven solutions using modern tools and best practices.
  • Build intelligent agents capable of retrieving, analyzing, and reasoning over both structured and unstructured data.
  • Collaborate with product and engineering teams to embed AI capabilities into existing ERP and scheduling systems.
  • Work on real-world use cases like inspection analysis, proposal generation, scheduling optimization, routing, diagnostics, onboarding, and NLP-based reporting.
  • Optimize LLM performance through effective prompt design, evaluation, and reduction of hallucinations.
  • Contribute to defining the technical direction and best practices for scalable GenAI integration.
  • Stay up to date with the latest in open-source LLMs, vector DBs, and multi-agent systems.

This is you

  • 3+ years of experience in AI engineering, with hands-on involvement in building and deploying LLM-powered applications.
  • Strong proficiency in Python, especially in the context of machine learning and generative AI workflows.
  • Experience working directly with Large Language Models (LLMs) such as OpenAI, Claude, Gemini, Llama, Mistral, etc.
  • Familiarity with GenAI abstraction frameworks like LangChain or Vercel AI SDK.
  • Solid understanding of Retrieval-Augmented Generation (RAG) techniques, including document ingestion, chunking strategies, embeddings, and semantic search.
  • Experience working with vector databases (e.g., Pinecone, Qdrant, FAISS, ChromaDB).
  • Practical knowledge of prompt engineering and tuning techniques to improve LLM responses.
  • Experience developing within AWS and/or Azure cloud environments for AI workloads.
  • Awareness of LLM evaluation methods and metrics, including red teaming, accuracy checks, and hallucination mitigation.
  • Understanding of agentic workflows — including multi-step processing, feedback loops, multi-agent systems, and memory. 

Nice-to-have skills:

  • Background in machine learning or data science.
  • Experience implementing AI features within SaaS or ERP products.
  • Familiarity with real-world applications in industries like fire & safety, aviation, pool service, or waste management.

What awaits you at Avenga?

An opportunity to work on meaningful, cutting-edge GenAI use cases that have real-world impact.

Collaborative and inclusive culture where innovation and experimentation are encouraged.

Access to global expertise and continuous learning in the fast-evolving AI space.

Flexible working model and supportive environment for career growth.


Location

Argentina

Job Overview
Job Posted:
2 weeks ago
Job Expires:
Job Type
Full Time

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