About the role We are looking for a Software Engineer to join our team working on AI-powered pharma industry products. You will work across two core platform products — building backend services, APIs, and AI-powered features, and shipping the frontend side of your work in React + TypeScript. You will work closely with the product owner, frontend developers, QA, DevOps, and biologists.
Must-haves
A completed university degree in Computer Science, Software Engineering, or a related technical field (Bachelor’s or higher).
Strong algorithmic thinking — solid data-structures foundation, able to reason about complexity and design correct, efficient solutions rather than only wiring frameworks.
~4+ years of production experience building backend services in Python (FastAPI or a similar async framework) with PostgreSQL / SQLAlchemy.
Hands-on experience with AI-assisted / agentic development (Claude Code or similar) — and the ability to configure and tune these tools, not just use them out of the box; you can explain where you trust them and how you verify their output.
Practical experience with MCP (Model Context Protocol) and RAG (retrieval-augmented generation, embeddings, vector search).
Comfortable shipping features in React + TypeScript — you can build and wire up UI without a frontend engineer holding your hand.
Solid with Docker and Git-based workflows; understand how services run in Kubernetes.
English(B1-B2) sufficient to work in an English-language codebase and team.
Tech Stack
Core: Python 3.10+, FastAPI, async/await, SQLAlchemy 2.0, Alembic
Frontend: React 18, TypeScript, Vite
Database: PostgreSQL, DuckDB, vector search (embeddings)
AI/LLM: Claude Code, MCP (Model Context Protocol), RAG pipelines
Infrastructure: Docker, Kubernetes, Redis (FastStream)
Storage: Parquet
Orchestration: Temporal, Argo (nice to have)
CI/CD: GitOps, ArgoCD, GitLab CI
Observability: structured logging, metrics, distributed tracing
Tools: Git, Jira, Confluence
Nice-to-have (not required)
Experience with workflow orchestration (Temporal, Argo, Airflow) or message-driven architectures.
Building your own MCP servers, or productionising LLM apps (evals, guardrails, cost/latency tuning).
Data/analytics tooling (DuckDB, Parquet) or a scientific/chemistry background.
GitOps / CI experience (ArgoCD, GitLab CI).
What you’ll do
Design and ship async REST APIs in FastAPI so researchers can run screening, manage projects, and explore results.
Integrate backend services with our compute-orchestration layer so long-running docking and screening jobs are durable and observable.
Drive features with an AI-first workflow: plan and implement with Claude Code, then critically review, test, and verify what the agent produces before it ships.
Model and evolve the PostgreSQL schema (SQLAlchemy 2.0, Alembic), shipping safe migrations as the product grows — with the team’s support on the trickier zero-downtime changes.
Build and integrate the AI layer — MCP tools and RAG pipelines (embeddings, vector search) that power our in-product AI Agent — with evals, guardrails, and retrieval quality treated as part of the feature, because the agent informs scientific decisions.
Build async, event-driven services: Redis/FastStream for lightweight service-to-service events
Ship the frontend side of your features in React 18 + TypeScript (Vite) — wiring UI to the APIs you build
Keep your services observable and reliable in production: structured logging, metrics, and distributed tracing across async services and Temporal workflows
Review peers’ code — including AI-generated code — as part of how the team keeps quality high.
Domain knowledge
Basic understanding of molecular biology — proteins, DNA/RNA, small molecules
Experience in biotech, pharma, or life sciences software is a strong plus
Soft skills
Attention to detail
Proactive communication — if something is unclear, asks immediately
Ability to work independently and manage own
