We are expanding our agentic AI capability and are looking for an AI Engineer to join the team. You will work alongside senior engineers to build and maintain AI systems — contributing to agentic pipelines, retrieval infrastructure, and the integrations that tie these systems together.
This is a hands-on implementation role with real ownership of components. You will grow your skills in a fast-moving AI practice, working on production systems that directly affect client outcomes.
What This Involves:
- Build and maintain agentic pipelines and workflows under the guidance of senior engineers: tool use, orchestration, and multi-step reasoning.
- Implement and tune RAG pipelines — including embedding, chunking strategies, vector retrieval, and retrieval evaluation.
- Contribute to memory and context layer components: integrating vector databases, supporting knowledge graph pipelines, and helping maintain state management across agentic systems.
- Write clean, well-tested Python code and participate in code reviews.
- Debug and improve existing AI systems based on evaluation results and production feedback.
- Collaborate with data engineers and domain experts to integrate AI components with upstream data sources and downstream applications.
- Document implementations clearly and contribute to shared internal tooling.
Requirements:
- 2–4 years of software or ML engineering experience, with at least 1 year working with LLMs or AI systems in a professional setting.
- Working knowledge of LLM APIs (OpenAI, Anthropic, or similar) and at least one agentic or RAG framework (LangChain, LlamaIndex, or equivalent).
- Solid Python skills and comfort with software engineering basics: version control, testing, REST APIs.
- Familiarity with vector databases or embedding-based search.
- Curiosity about agentic AI — you follow developments in the space and are eager to apply new techniques.
- Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing teams.
- Ability to overlap with Pacific Time business hours for a minimum of 3 hours per day.
Key Competencies:
- Stakeholder Mentality: Treats the company's and client’s goals as their own and is genuinely motivated by its success.
- Organisational Excellence: Manages time and priorities effectively, ensuring tasks are completed accurately and on time even in a fast-paced environment.
- Discretion & Integrity: Handles sensitive and confidential information with professionalism and sound judgement.
- Problem Solving: Approaches challenges proactively and with a solution-oriented mindset, taking initiative rather than waiting to be directed.
- Collaboration: A team player who builds strong working relationships and communicates effectively with colleagues across all levels.
Why You Will Love It Here:
- Work on real-world AI and advanced analytics solutions with measurable business impact.
- Collaborate with a global team of engineers and data scientists.
- Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.
- A collaborative culture that values real outcomes.
- Rapid learning opportunities and diverse challenges.
- Flat organisational hierarchy with high visibility and accessibility to our leaders.