Senior AI Engineer

Job Description

About the job

Seeking an innovative Prompt Engineer to revolutionize business operations through AI-driven automation in the online grocery sector. You'll craft sophisticated prompts, integrate large language models into workflows, and collaborate closely with a Business Integration Engineer to unlock the potential of end-to-end automation. The ideal candidate has expertise in LLM technologies, agent-based reasoning, and a passion for developing practical, intelligent solutions that transform complex data processing. Strong skills in Python, prompt engineering, and Retrieval-Augmented Generation are key to driving our vision of an autonomous organization.

Detail job description

• Design and Refine Prompts: Craft and optimize prompts for large language models and occasionally create agent flows to power end-to-end automation
• Integrate AI: Work closely with a Business Integration Engineer to embed LLMs into tools like Make or serverless functions. Ensure solutions are flexible, data-driven, easy to maintain, and can interact with our backend and internal toolsets
• Proactive Innovation: Actively analyze workflows involving complex or unstructured data to identify inefficiencies. Propose prompt-based improvements and AI-driven solutionsleveraging Retrieval-Augmented Generation (RAG) and vector searchto refine reasoning and decision-making
• Own Your Solutions: After onboarding, independently manage prompt-related projects, maintain quality, and quickly resolve production issues

Requirements

• LLM Expertise: Proven skill in crafting effective prompts for large language models and experience with Retrieval Augmented Generation (RAG)
• Agent-Based Reasoning: Some experience with agent-based systems or a strong willingness to learn how to create autonomous agents that can plan, reason, and execute actions toward defined goals
• Data and Integration Familiarity: Comfortable with APIs, simple ETLs, and basic SQL. Able to connect LLM outputs to various systems without overcomplicating the process
• Developing production grade systems: Experience with deploying production grade AI systems in Python
• Pragmatic Engineering: Deliver practical solutions without over-engineering. Maintain a realistic understanding of state-of-the-art capabilities
• Fluent English

Offer

What We Offer:

A close-knit team where your impact is immediate and visible

A hybrid work model (3 days in-office, 2 days remote)

Support for professional growth through training and workshops

A results-driven culture free from unnecessary bureaucracy