Full-Time

Principal Software Engineer

AI Systems & Data Pipelines

Posted on 8/22/2025

Ionlace

Ionlace

1-10 employees

Biotech and materials R&D with commercialization

No salary listed

London, UK

In Person

Category
Software Engineering (2)
,
Required Skills
Kubernetes
FastAPI
Python
JavaScript
React.js
Postgres
Docker
TypeScript
Next.js
Google Cloud Platform
Requirements
  • Proven track record of shipping production systems in Python (FastAPI, PostgreSQL) and JavaScript/TypeScript (React, Next.js).
  • Strong background in distributed systems, scalable architectures, and data-intensive applications.
  • Experience deploying ML models into production, ideally with multi-agent orchestration (LangGraph, Pydantic, or custom frameworks).
  • Familiarity with MLOps best practices, model lifecycle management, and CI/CD workflows.
  • Experience designing data systems that bridge laboratory instrumentation and computational workflows.
  • Familiarity with handling experimental datasets, scientific data formats, and lab data management systems is a plus.
  • Bonus: experience with computational biology, protein engineering, or biotech data workflows.
Responsibilities
  • Write and deliver production-grade features and infrastructure in Python (FastAPI, PostgreSQL) and JavaScript/React, Tailwind, Next.js. Review and debug code written by the team.
  • Drives decisions that influence the product design, application functionality, and technical operations and processes.
  • Plan and implement architectures for high-performance protein engineering pipelines.
  • Translate ambitious product and research requirements into clear technical milestones.
  • Operationalize AI workflows from research prototypes into reproducible, production-ready systems used daily by scientists.
  • Build intelligent interfaces that integrate agentic tools into scientists’ workflows.
  • Develop seamless full-stack integrations between AI agents, user inputs, and large-scale biological datasets.
  • Deploy and maintain containerized workflows (Docker, Kubernetes) in cloud-native environments (GCP preferred).
  • Create high-throughput data integration pipelines connecting experimental, computational, and AI-driven outputs.
  • Design and implement systems to capture and process wet lab experimental data in near real-time.
  • Incorporate this feedback into computational models and protein design workflows, enabling rapid iteration through the DBTL cycle.
  • Collaborate closely with wet lab scientists to ensure data quality, interoperability, and traceability across the platform.
  • Conduct code reviews, share best practices, and help engineers solve complex technical challenges.
  • Contribute to project planning to ensure timelines are realistic and delivery is on track.
Desired Qualifications
  • Bonus: experience with computational biology, protein engineering, or biotech data workflows.

IONLACE is a biotech-focused R&D company that builds and funds science projects in biotechnology, molecular biology, and advanced materials. It hires highly skilled, highly curious scientists—“rebel scientists”—and gives them resources and freedom to pursue ambitious, real-world-impact ideas. The company operates in innovation hubs like Stockholm and Copenhagen to accelerate research and development. Revenue comes from advancing R&D projects toward commercialization through patents, partnerships with larger companies, and market-ready products, as well as grants and venture funding. IONLACE differentiates itself by prioritizing rapid execution and bold, high-risk research led by top talent, aiming to stay ahead in a competitive field. Its goal is to shape the future of scientific and technological progress by turning breakthroughs into practical applications through collaborations, licensing, and new products.

Company Size

1-10

Company Stage

N/A

Total Funding

N/A

Headquarters

Solna kommun, Sweden

Founded

2023

Simplify Jobs

Simplify's Take

What believers are saying

  • Pre-seed funding on November 18, 2023, accelerates AI protein platform development.
  • Exhibiting at BIO 2026 enables partnerships with biotech and pharma leaders.
  • Heartcore SynBio portfolio provides access to Nordic follow-on venture capital.

What critics are saying

  • Genentech and Exscientia commoditize AI protein design within 12-24 months.
  • Pre-seed funding fails to scale lab experiments versus Flagship Pioneering rivals.
  • No Phase 2 programs block pharma partnerships in 12-24 months.

What makes Ionlace unique

  • IONLACE builds modality-agnostic AI fusion protein platform for multi-specific biologics.
  • Lab-in-the-loop AI generates high-resolution data from real experiments.
  • Targets rebel scientists in Stockholm and Copenhagen for rapid innovation.

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Benefits

Company Equity

Paid Vacation

401(k) Retirement Plan

INACTIVE