Fullstack LLM Engineer

EQT Ventures Stockholm

Company

Role

About EQT Ventures

EQT Ventures, is a European venture firm with a global outlook, supporting founders of generation-defining companies from ideation to explosive growth. Built by some of the world’s most driven founders and operators, our distributed team operates on the ground in Stockholm, London, New York, Berlin, and Paris.

Currently investing out of a €1.1B fund, the largest early-stage fund ever raised in Europe, They’re one of the most active VC firms globally. They’ve partnered with over 100 founding teams, including Wolt, Einride, Handshake, The Exploration Company, Sana Labs, 1x Robotics, and Cleo.

About the Role

Join EQT Venture´s newly formed AI team as a Fullstack LLM Engineer and GenAI builder. You’ll play a pivotal role in extending EQT’s leadership in data-driven VC. In this role, you’ll be collaborating with a data engineer, an analytics lead, an AI quant analyst, a full stack dev, EQTV’s head of AI, and the Motherbrain team.

Your responsibilities will be to ship state-of-the-art software and models to uncover unique insights from unstructured and structured data. The goal is to discover the world’s most ambitious entrepreneurs and companies early and to support them by harnessing the full potential of EQT’s global network and technology initiatives.

The capabilities developed and maintained by you will be used by all investment teams at EQT Ventures, and empower us to make smarter and quicker decisions with the perfect timing.

Key Responsibilities

  • Implement and have the deepest knowledge of state-of-the-art generative AI technologies, keeping up to date with the latest industry trends
  • Extracting and parsing public data at scale, leveraging LLM models, RAG techniques, knowledge graphs, or similar to uncover insights
  • Develop algorithms and analytics that quantify market signals, company traction, and sentiment to identify startups with outlier founders working on breakthrough technology
  • Collaborating with Investors, Analysts, and Operational Support at EQT Ventures, as well as central initiatives such as Motherbrain (EQT’s proprietary AI platform), to make sure our work drives performance

About you

This role demands a combination of a technical and entrepreneurial mindset, a relentless pursuit of excellence, and a deep passion for applying generative AI, machine learning, data science, and software engineering to any and all data. A strong interest in startups, investments, new technologies, entrepreneurship, and a love for emerging trends will make you thrive in this position.

We believe that you have a tinkering mindset, an urge to build bleeding-edge solutions, and that you like to optimize for velocity, while constantly learning in an intellectually stimulating and challenging environment.

Mindset & traits

  • Self-starter: loves autonomy and taking ownership, producing quantifiable results building AI systems from the ground up
  • Compulsive Maker: possess a hands-on mentality, probably tinkering with new AI tools and personal projects in your spare time, and always trying things to get a boost
  • Master of Structure: strong analytical skills, a love for math and stats, super comfortable working with both unstructured and structured datasets.
  • Gets Shit Done: you turn plans into action and ideas into reality, efficiently and with flair; facing a locked door, you either kick it down, learn how to pick locks, or find a window

Tech & tools you probably love

  • AI tools: Llamaindex, Langchain, CrewAI pgvector, vllm, Langfuse
  • APIs & platforms: OpenAI, Anthropic, HuggingFace, Vertex AI
  • ML frameworks: scikit-learn, pytorch, keras, xgboost/lightGBM
  • Cloud platforms: GCP
  • Data warehousing & lakes: BigQuery, Snowflake
  • Stack: dbt, Fivetran, Airbyte, Kubernetes, Docker, Airflow
  • Big Data: Spark, DuckDB, Iceberg
  • Other lovely tools: Selenium, Streamlit, FastAPI, Circle CI, Argo CD
  • Programming: Python, Javascript 

Join EQT Venture´s mission to revolutionize how data and AI is driving value in early-stage investing!

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