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.