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The Company
Mythras is a pre-seed startup that turns voice interviews into structured, queryable intelligence that accumulates into a knowledge graph the customer organisation owns. Our product caters to investment teams, conducting interviews as part of diligence processes. Today, firms rely on dozens of unstructured reference calls per deal; the resulting insights surface as memos and notes, useful for the deal at hand and invisible across the portfolio. Mythras decomposes each conversation into structured evaluative output, surfaces cross-source patterns and risks, and compounds the firm’s diligence work into an intelligence asset.
Technically, this means building systems that combine a domain-specific evaluative ontology, a multi-layer knowledge graph, controlled LLM orchestration over voice and text, and a production-grade enterprise application on top.
Our founding team brings a proven track record of building VC-backed business intelligence platforms, deep domain expertise in diligence and M&A workflows, nearly a decade of experience in ontology engineering and applied AI, and research excellence in behavioural science and human-AI interfaces.
The Role
As our first engineering hire, you are expected to be more than a developer. You will work directly alongside the founders and our Knowledge Engineer to translate high-level semantic and reasoning models into a secure, performant, and user-friendly enterprise platform.
While you will not be responsible for designing the underlying knowledge models themselves, you will be the primary bridge between deep intelligence and a production-grade product. This is a hands-on, zero-ego role. You will be writing production code daily while helping shape the architectural decisions that will define the company for years to come.
Core Responsibilities
Initial focus (first 6–9 months):
• Infrastructure & Architecture: Design and deploy a secure AWS or GCP environment, including CI/CD pipelines, database schema design across PostgreSQL and Neo4j, and API orchestration.
• MVP Development: Build and ship the core web application (frontend and backend) to support multi-tenant project setup, structured output review, cross-source synthesis views, and graph-backed firm intelligence interfaces.
• Voice & Agent Integration: Implement deterministic orchestration logic for LLM- and voice-based agents, including execution flows, state handling, prompt management, and observability. This is not prompt tinkering: it is about building reliable intelligence workflows on top of foundation voice and language models.
• Graph Application Layer: Work closely with the Knowledge Engineer to expose the Neo4j-backed three-layer graph (interaction, project, organisation) through clean APIs and well-designed UI, with full provenance from extracted claim back to source utterance.
• Security & Compliance: Implement SOC2-ready security foundations from day one (we are not expecting certification at MVP), including encryption at rest and in transit, robust identity management, firm-scoped tenant isolation, and no-cross-customer-training guarantees baked into the architecture.
Traditional Requirements
• 4+ years of professional software engineering experience (startup experience preferred).
• Full-stack proficiency: strong experience in a modern backend language (Python, Node.js, or Go) and a modern frontend framework (React / Next.js).
• Databases: solid understanding of relational databases (PostgreSQL) and hands-on experience with graph databases (Neo4j strongly preferred), with a working interest in vector stores.
• DevOps fundamentals: experience with Docker and cloud-native deployments.
• Experience integrating with foundation LLM and/or voice APIs in production is a strong plus.
• Experience building early-stage systems that later scaled is a strong plus.
Who This Role Is For
This role is for you if you:
• Enjoy building foundational systems from first principles.
• Care about correctness, traceability, and real-world decision-making impact.
• Want genuine ownership rather than a narrow ticket queue.
• Are excited by complex, interdisciplinary problems at the intersection of software, reasoning, voice, and human judgment.
This role is not for you if you:
• Want a fully formed product, large team, or rigid roadmap on day one.
• Prefer narrow, well-defined problem spaces with little ambiguity.
What We Offer
Compensation: c. £75k per annum.
Equity: Meaningful founder-level equity, structured to reflect early risk and long-term ownership.
Ownership: A direct seat at the strategy table and full technical agency over the codebase.
Trajectory: We expect to raise a pre-seed round in the near term, with scope to revisit compensation post-raise.
