LLM Engineer - Technical Intelligence

Who are we?

IOHK, is a technology company focused on Blockchain research and development. We are renowned for our scientific approach to blockchain development, emphasizing peer-reviewed research and formal methods to ensure security, scalability, and sustainability. Our projects include decentralized finance (DeFi), governance, and identity management, aiming to advance the capabilities and adoption of blockchain technology globally.

We invest in the unknown, applying our curiosity and desire for positive change to everything we do. By fueling creativity, innovation, and progress within our teams, our products and services are designed for people to be fearless, to be changemakers.

What the role involves:

You will be part of the Technical Intelligence team. The team’s main function is to recon the blockchain industry and feed the company with new trends and projects. The TechInt team has automatized the recon process by utilizing a data lake and machine learning. 

You will increase the capabilities of our automated system by exploiting large language models (LLMs). You integrate LLMs into our recognition processing pipeline. 

• Understand the manual analytical work of intelligence engineers and propose optimizations by using LLMs and AI agents.
• Drive customizations of LLMs with finetuning or RAG from several data sources, including knowledge graph databases and search API, and iteratively experimenting, optimizing, and evaluating LLM metrics.
• Build AI agents that can create deep-dive and state-of-the-art reports on emerging technical trends in the blockchain space. 
• Build AI agents that can extract and evaluate technical architectures from projects’ source code repositories.
• Build AI agents that can assess the strength of engineering (coding) practices from source code repositories.
• Use LLMs with prompt engineering for NLP classification in a legacy data system.
• Set up lightweight UI/UX for interactions with LLM or AI agent outputs. 
• Work closely with leadership to understand and define requirements, ensuring alignment with the department’s strategy and roadmap.

Who you are:

• BSc/MSc in Computer Science or a related field, preferably with a focus on NLP, AI, or ML.
• 4+ years of work experience in engineering ML or AI solutions. 
• Experience with cloud platforms, preferably Databricks and AWS.
• Experience with LLM toolstack, for example : Openai API, Auto-GPT, Langchain, Llamaindex, Chromadb, or other vector databases.
• Fine-tune (augment) an LLM model with support of open source tooling such as Langchain, Llamaindex, Vectorized Databases, or Graph Databases.
• Solid knowledge of LLM scaling systems, such as vllm, DeepSpeed, Ray.
• Solid knowledge of AI agent systems such as Autogen or CrewAI.
• Good foundation in Machine Learning (ML), Natural Language Processing (NLP), and Deep Learning (DL).
• Solid knowledge of Python’s data stack with a focus on NLP: Spark, Spark-NLP, Regex, Pandas, Polars, Tensorflow, Pytorch, SpaCy, Transformers, Huggingface.
• Solid programming skills covering algorithms, data structures, design patterns, asynchronous programming, and relational databases.
• Solid software development practices covering version control, testing, and continuous integration. 
• Knowledge of the Blockchain domain and passionate about gaining further breadth and depth of the domain.

Are you an IOGer?

Do you find yourself questioning the status quo? Do you tinker with ideas and long to turn those ideas into solutions? Are you able to spark thoughtful debates, bringing out the inquisitiveness in others? Does the promise of continuously growing excite you? Then get ready to reimagine everything you thought wasn’t possible because that’s what it means to be an IOGer - we don’t set limits, we break them. 

• Remote work

• Laptop reimbursement
• New starter package to buy hardware essentials (headphones, monitor, etc)
• Learning & Development opportunities
• Competitive PTO 

At IOG, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.