AI Engineer

AI Software Engineer

This team owns and operates a core service that runs AI-powered agents and their associated infrastructure, ensuring reliability, scalability, and ease of use for internal and external stakeholders. You will work across backend systems, front‑end integration, and AI/ML workflows, with opportunities to expand your expertise in prompt engineering, Retrieval‑Augmented Generation (RAG), and large language model (LLM) interactions.

Responsibilities

• Design, build, and maintain services and infrastructure that manage AI‑powered agents.
• Develop backend services in Python, with comprehensively tested and self‑documented APIs.
• Work with Agentic AI frameworks and implement prompt engineering best practices to build scalable foundational platform.
• Work with relational databases (MySQL) to store, query, and optimise structured data.
• Collaborate with product and research teams to refine and implement the product roadmap.
• Support front‑end teams using React/JS components and wrappers for AI‑driven experiences.
• Learn, apply, and optimise RAG systems, including vector databases, embeddings, and document chunking strategies.
• Build a practical understanding of how large language models (LLMs) work and deepen expertise in effective interactions with LLMs for agent orchestration.
• Monitor, debug, and optimise system performance, ensuring high reliability in production environments.

Skills & Qualifications

• Strong proficiency and experience working with Python‑based services.
• Hands‑on experience with relational databases (MySQL or similar).
• Familiarity with React and ability to support front‑end AI integrations.
• Basic understanding of large language models and eagerness to expand knowledge.
• Demonstrated interest or experience in prompt engineering and working with LLMs.
• Strong problem‑solving, debugging, and collaboration skills.

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