Planso
Junior AI Engineer
Industry Technology & Software
Job description
Planso builds AI-powered decision-intelligence products for the global architecture, engineering and construction industry. We work on complex problems involving enterprise data, documents and domain-specific reasoning.
Responsibilities - Build and evaluate LLM-powered product capabilities. - Develop pipelines for document understanding, information extraction and retrieval. - Experiment with embeddings, reranking, RAG and agentic workflows. - Create evaluation datasets and measure accuracy, relevance and reliability. - Analyse failure cases and improve prompts, models and guardrails. - Work with engineers and domain specialists to take prototypes into production. - Maintain clear documentation of experiments and technical decisions.
Requirements
What we are looking for - Strong Python and programming fundamentals. - Understanding of machine learning, NLP or information retrieval. - Familiarity with LLM APIs, embeddings and RAG. - Ability to work with structured and unstructured data. - Understanding of evaluation metrics such as precision and recall. - Strong problem-solving ability, ownership and curiosity.
Good to have - Experience with PyTorch, Hugging Face, LangChain, LangGraph or LlamaIndex. - Exposure to vector databases, knowledge graphs or document-processing systems. - Experience building APIs using FastAPI. - Relevant internship, academic or personal projects.
ApplicationShare your résumé, GitHub or portfolio, and a short note about an AI project you built—including one challenge you encountered and how you addressed it
Benefits - Experience building production-grade applied AI systems. - Exposure to enterprise AI and complex real-world data. - Opportunity to work closely with the founding and engineering teams. - Significant ownership and a fast learning environment.
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