Reporting to: Head of Engineering
Closest Collaboration: Hume Engineering Team, Product Management, Chief Scientist
Job Location: Open to candidates from Italy, UK, Poland, Spain, Romania, Greece, Slovakia and UK
Flexibility: Option to work fully remotely
Keywords: LLM, generative AI, LangChain, LangGraph, CI/CD pipelines, Java, Python, OpenAI, HuggingFace, vector stores
The mission
We are looking for a visionary and hands-on Tech Lead for AI to shape and build the artificial intelligence capabilities of Hume, our connected data analytics platform, from the ground up.
The initial focus will be Hume Maestro, our core AI component. You will be the architect and the builder, designing the foundations of our AI layer while actively contributing to its development. You will translate product vision into sound technical decisions, ensuring high-quality delivery within a collaborative, shared decision-making framework.
Key responsibilities
- Architectural Leadership: Design the foundations and technical roadmap of the AI layer within the Hume platform, specifically focusing on Hume Maestro.
- Hands-on Engineering: Actively contribute to the codebase, setting the standard for technical excellence, performance, and scalability in our AI components.
- Collaborative Governance: Work within a shared decision-making structure alongside Product Managers and our Chief Scientist to align technical execution with product vision and priorities.
- Cross-Functional Integration: Partner with the broader Hume team (including front-end and platform engineers) to ensure seamless integration of AI capabilities into the user experience.
- Technical Quality: Drive best practices in AI/ML engineering, including model evaluation, deployment pipelines, and maintainable code structures.
- Future Team Building: As the AI function expands, you will have the opportunity to transition from an individual contributor/lead role into building and mentoring a dedicated AI engineering team.
What you need to bring
- Experience: A proven track record as a Senior or Lead Engineer with deep expertise in Artificial Intelligence and Machine Learning.
- Technical Depth: Strong experience in designing and deploying AI architectures, with a focus on LLMs, graph-based AI, or complex data processing layers.
- Strategic Thinking: Ability to bridge the gap between high-level research/vision and production-ready engineering.
- Collaborative Mindset: Experience working closely with Product and Science stakeholders to balance technical debt, innovation, and delivery speed.
- Leadership Potential: A desire to eventually lead and inspire a team, with the communication skills necessary to coordinate complex technical projects.
- Background: Experience in B2B SaaS or high-growth deep-tech environments is highly preferred.
This is a unique "Day 1" opportunity for our AI layer. You aren't just joining a team; you are defining a function. We aim to create the conditions for you to evolve from this founding technical role into a leadership position as our AI capabilities scale.
- Unique opportunity: Join us on our journey to fundamentally change the way intelligence analysis is conducted and to empower democratic government agencies
- Driven and motivating environment: Striving for excellence is who we are but we’ve always got each other’s back. Work in an environment that motivates and supports you
- Self-realisation and autonomy: Thrive in an environment where autonomy is balanced with accountability. If something isn’t working, we take action
- Competitive compensation: Enjoy a competitive compensation package and regular reviews
GraphAware’s core values
- Sense of Ownership
- Strive for Excellence
- Driven by Customer Success
- Belief in the Value of Graphs
- I Got Your Back!
- Radical Candor
Skills Required
- At least 5 years of hands-on software engineering experience in production-grade products
- Strong development skills in Java or Python
- Comfortable with version control, code review, CI/CD pipelines, and deployment processes
- At least 2 years working with Large Language Models in a product or engineering context
- Hands-on experience building agentic AI configurations (ideally using LangChain and/or LangGraph)
- Practical knowledge of prompt design, optimisation, and evaluation
- Proficiency with LangChain and/or LangGraph
- Familiarity with GenAI tooling such as OpenAI, HuggingFace, and vector stores
- Experience mentoring or enabling other engineers in adopting new technologies
- Ability to translate AI capabilities into practical product value and work in cross-functional teams
- Experience with on-premises/containerised deployments using Docker
- Familiarity with graph-based data models or connected data analytics
- Experience with AI evaluation frameworks, benchmark design, RAG architectures
What We Do
GraphAware was founded in 2013 to help organisations gain competitive edge through the application of graph technologies. Our own product called GraphAware Hume is used by analysts, data scientists, and data-savvy business users all around the world to keep countries and communities safe, combat financial fraud, discover new medicines, advise important policymaking, and much much more. We also help clients implement their own solutions based on Hume and Neo4j - the most popular graph database on the market - by providing consulting, training, and software development services. We are a multinational, multicultural team of experts in the fields of software, databases, graph theory, and machine learning. Our culture is that of a small company but our plans are super ambitious. We are passionate about graphs and driven by customer success. Sense of ownership and striving for excellence is the norm at GraphAware. In times of trouble, we have each other's back. We love seeing our colleagues grow professionally and support their careers in the direction of their desire.
