What are we all about?
We are a team of builders and researchers on a mission to empower enterprises and developers worldwide to access and build on decentralized systems.
Our expertise covers several domains: Ethereum and Starknet protocol engineering, layer-2, AI, cryptography research, protocol research, decentralized finance (DeFi), security auditing, formal verification, real-time monitoring, smart contract development, and dapps and enterprise engineering.
Working to solve some of the most challenging problems in the blockchain space, we frequently collaborate with renowned companies, such as Ethereum Foundation, Starknet Foundation, Gnosis Chain, Flashbots, Forta Protocol, Lido, EigenLayer, Open Zeppelin, RISCZero, Aleph Zero, and many more.
Today, we are a 350+ strong team working remotely across 66+ countries.
View all our open positions here: https://www.nethermind.io/open-roles
Are you the one?
Agents will eat the world—perhaps literally, but more likely figuratively. Until then, we would like to build the best-in-class systems to augment functions across our company with an eye to spinning out these learnings into a public platform in the future. Do you have or want to develop the skill to massage silicon intelligence into fruitful work? Are you interested in embracing your creativity and software development's capabilities to create unexpected and powerful AI interactions? Join us in shaping the future of AI-powered automation.
Nethermind is a Blockchain Research and Software Engineering company. We empower enterprises and developers worldwide to access and build on the decentralized web. Our work touches every part of the blockchain ecosystem - from fundamental cryptography research to application-layer protocol development.
We seek experienced and passionate software engineers with great programming and design thinking skills to join our growing AI assistant team. Any experience in AI/ML will be a benefit but is not super crucial. Think of it as an opportunity to change or broaden your expertise to AI/LLM area, leveraging your prior experience in delivering great quality software .
Successful candidates will support an end-to-end pipeline of creating agents - including research, design, development, and testing AI tools/agents to automate many functions of our delivery. The successful candidates will embody the entrepreneurial spirit, possess self-drive, and demonstrate a genuine interest in Artificial Intelligence. If you are passionate about shaping the future of technology and thrive in a fast-paced, collaborative environment, we invite you to explore this exciting opportunity with us.
Responsibilities:
- Perform R&D in the area of incorporating LLMs across critical company-wide operations
- Quickly prototype, architect and implement sophisticated LLM-based solutions from concept to production
- Work and experiment with the latest tools and technologies in AI
- Work with top software engineers and research professionals to solve the toughest technical challenges
- Stay updated with new developments and research in the AI/ML space (LLM in particular)
Skills:
- Minimum 5 years of software development experience, with excellent programming skills; knowledge of Python is preferred.
- Deep expertise in software architecture patterns and best practices
- Proven track record of siginificant production grade software delivery
- Research, learning and ideating-oriented mindset
- Ability to write clean, testable, and maintainable code without over-engineering
- Some familiarity with tools such as ChatGPT, Claude, Perplexity and similar tools
- An entrepreneurial nature, willing to take ownership and run toward problems
- Analytical and detail-oriented mindset for designing, validating and comparing experiment results
- A Deep passion for navigating the dynamic and fast-paced world of AI innovation, coupled with a drive to share these advances with others
Nice to have:
- Experience with the development of LLM-based solutions (including but not limited to prompt-engineering, frameworks like LangChain or LlamaIndex)
- Experience in designing RAG solutions, usage of vector databases, and incorporating novel techniques like GraphRAG
- Some experience with LLM fine-tuning, including model quantization and model self-hosting
- Knowledge of LLM-related security concerns like prompt injection, data poisoning, etc.
- A fascination with the inner workings of AI systems, from neural nets to recommendation algorithms.
- Having activity on GitHub is a significant advantage (please include links to projects or PRs that you have submitted to external projects)
