Receptor.AI

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 workload

   We’re looking for an HR Manager to support the growth of Receptor.AI by managing recruitment, onboarding, HR operations, and people related processes across the company. This position is ideal for someone who enjoys working with technical and scientific teams, can organize hiring processes efficiently, and wants to contribute to building a strong team culture in a fast growing TechBio company.

You’ll work closely with leadership, project managers, and department leads to make sure the company attracts, hires, and supports the right talent for scientific, technical, and operational roles.

What You’ll Do

Recruitment & Talent Acquisition

· Manage the full recruitment cycle for scientific, technical, and operational positions.

· Prepare and publish job descriptions on relevant hiring platforms.

· Search for candidates through LinkedIn, job boards, professional communities, and other channels.

· Screen CVs and shortlist candidates based on role requirements.

· Coordinate interviews with candidates, hiring managers, and technical interviewers.

· Maintain clear communication with candidates throughout the hiring process.

· Track recruitment progress and keep hiring data organized.

· Support employer branding activities and improve candidate experience.

HR Operations & Employee Support

· Support onboarding for new employees and contractors.

· Prepare and maintain HR documents, internal records, and employee information.

· Help organize internal processes related to team communication, performance, and feedback.

Team Culture & Process Improvement

· Contribute to building a positive and professional team environment.

· Collect feedback from employees and help identify areas for improvement.

· Support internal initiatives related to employee engagement and team development.

· Help improve recruitment, onboarding, and HR workflows as the company grows.

What We’re Looking For

Required

· Previous experience in HR, recruitment, talent acquisition, or people operations.

· Experience managing recruitment processes from candidate search to interview coordination.

· Strong communication and interpersonal skills.

· Ability to work with technical, scientific, or startup teams.

· Good organizational skills and attention to detail.

· Ability to manage several vacancies and HR tasks at the same time.

· English proficiency B2 or higher.

· Proactive, responsible, and structured approach to work.

Nice to Have

· Experience recruiting for biotech, pharma, AI, software development, or scientific roles.

· Experience working in a startup or fast growing company.

· Understanding of basic employment documentation and contractor management.

· Interest in AI, drug discovery, biotechnology, or life sciences.