Staff Engineer – Decision Support, Planning Optimization

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Spearhead the development of AI-driven decision-making and planning applications for research and development.

• Oversee backend engineering initiatives utilizing Python or Java.

• Direct software architecture and API design efforts.

• Create document ingestion and retrieval methodologies.

• Build text embeddings and workloads focused on retrieval.

• Implement AI-assisted engineering with thorough reviews.

• Demonstrate knowledge in React or Angular.

• Mentor and support junior and mid-level engineers.

• Design and execute testing strategies, including unit, integration, and end-to-end tests for knowledge management systems.

• Establish and uphold security best practices and compliance regulations.

• Enhance system performance and scalability.

• Collaborate with engineering, product, and scientific teams to convert complex requirements into actionable solutions.

• Produce and maintain technical documentation, architecture diagrams, and knowledge repositories.

• Set high expectations for quality, documentation, and the thoughtful integration of AI-assisted engineering.

⛳️ Requirements

• Proven experience in backend engineering with Python or Java.

• Solid background in software architecture and API design.

• Demonstrated expertise in document ingestion and retrieval methodologies.

• Extensive experience with text embeddings and retrieval-oriented workloads.

• Strong background in AI-assisted engineering with rigorous review processes.

• Knowledgeable in React or Angular frameworks.

• Familiarity with quality and documentation standards.

• Excellent communication skills with the ability to influence both technical and non-technical stakeholders.

• Established mentorship and leadership experience with junior and mid-level engineers.

• Proficient in English, both written and spoken.

• Experience in agriculture, life sciences, scientific computing, or regulated enterprise settings.

• Background in developing platforms, products, or services utilized by multiple internal teams.

• Experience working within distributed, international engineering organizations.

• Familiarity with knowledge management systems, enterprise content management, or information retrieval platforms.

• Understanding of compliance frameworks, regulatory requirements, and audit-ready system design.

• Experience with cloud platforms and in designing for scalability and performance optimization.

🏝️ Benefits

• Comprehensive benefits package.

• Generous pension scheme.

• Bonus program.

• Private medical insurance.

• Life insurance coverage.

• Up to 31.5 days of annual leave.

• Flexible working arrangements.

• A culture of learning with a wide array of training opportunities.

• Opportunities to develop and apply your scientific expertise within the chemical industry.

• Chance to collaborate with a global team addressing the needs of the agricultural sector.