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AI/ML Engineer (Agentic AI & Computer Vision)

Key Facts

Remote From: 
Full time
English

Other Skills

  • •
    Logical Reasoning
  • •
    Collaboration
  • •
    Adaptability
  • •
    Communication

Roles & Responsibilities

  • Strong commercial experience with Python and modern AI/ML ecosystems
  • Hands-on experience building agentic AI systems using frameworks such as LangGraph or LangChain
  • Experience working with LLMs, RAG pipelines, vector databases, and tool-calling architectures
  • Practical experience training or fine-tuning computer vision models (e.g., object detection, diagram/document understanding)

Requirements:

  • Build and improve agentic AI workflows for processing technical engineering documentation
  • Develop Computer Vision pipelines for diagram and symbol detection
  • Design and maintain Knowledge Graph structures representing system components and relationships
  • Develop multi-agent orchestration pipelines using modern LLM frameworks

Job description

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 Ul design, managed services, product development, and software development.

This is the job

For one of our international engineering-focused clients, we are looking for an AI Engineer / ML Engineer to join an R&D initiative focused on intelligent diagram understanding and agentic AI workflows.

The project combines Computer Vision, Knowledge Graphs, Generative AI, and multi-agent orchestration to automate the transformation of technical engineering documentation (such as P&ID diagrams and system specifications) into structured simulation models.

This is a highly hands-on role focused on experimentation, rapid prototyping, and building end-to-end AI pipelines in a fast-moving Proof-of-Concept environment.


This is you

  • Strong commercial experience with Python and modern AI/ML ecosystems

  • Hands-on experience building agentic AI systems using frameworks such as LangGraph or LangChain

  • Experience working with LLMs, RAG pipelines, vector databases, and tool-calling architectures

  • Practical experience training or fine-tuning Computer Vision models (e.g. object detection, diagram/document understanding)

  • Experience building APIs and backend services using FastAPI or similar frameworks

  • Comfortable working independently in R&D/prototype-driven environments with rapidly evolving requirements

  • Strong ownership mindset and ability to take solutions from idea to working prototype

Nice-to-have skills:

  • Experience with Knowledge Graphs (Neo4j, NetworkX, RDF, or similar technologies)

  • Experience with multimodal AI systems combining image and text understanding

  • Familiarity with GCP services such as Vertex AI, Cloud Run, or GCS

  • Experience integrating code execution or self-correcting loops into AI agent workflows

  • Exposure to engineering simulation environments or technical diagram processing

This is your role

  • Build and improve agentic AI workflows for processing technical engineering documentation

  • Develop Computer Vision pipelines for diagram and symbol detection

  • Design and maintain Knowledge Graph structures representing system components and relationships

  • Develop multi-agent orchestration pipelines using modern LLM frameworks

  • Integrate retrieval, reasoning, and tool-calling capabilities into AI systems

  • Build APIs and backend services supporting AI workflows and experimentation

  • Collaborate closely with engineers and researchers in a fast-paced R&D environment

 

What awaits you at Avenga?

At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

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