About the Company: Our client is a cutting-edge deep tech start-up that’s redefining how enterprises leverage artificial intelligence to automate complex analytical workflows. Having completed a successful Series A funding round , they are rapidly scaling their technology and delivery teams to meet strong enterprise demand. Their mission is to replace traditional, fragmented analytics processes with intelligent AI-powered digital workers — autonomous systems that can perform advanced analytics, data science, and decision-making tasks continuously, accurately, and at scale.
The Role: As an AI Engineer , you’ll be part of a world-class team building and deploying production-grade AI systems that redefine enterprise analytics. This is a high-impact, client-facing position where you’ll design, implement, and deliver agentic workflows and intelligent systems that solve real business challenges at scale.
You’ll collaborate with senior stakeholders, data scientists, and product teams at some of the world’s most recognized enterprises — translating complex business problems into elegant, scalable AI solutions.
What You’ll Do:
- Lead the design and delivery of agentic AI systems and LLM-based workflows for top-tier enterprise clients.
- Partner directly with technical and business teams to identify pain points and architect high-impact AI-driven solutions.
- Build and deploy production-grade systems leveraging LLMs, RAG pipelines, multi-component AI programs (MCPs), and agent frameworks .
- Conduct applied research to solve novel, previously unseen problems — bringing cutting-edge innovation from concept to production.
- Contribute to internal research initiatives and thought leadership, shaping the evolution of AI automation in enterprise contexts.
What You’ll Bring:
- PhD in a STEM field (Computer Science, Machine Learning, Mathematics, Physics, or related discipline). Your research background enables you to tackle complex, ambiguous problems with scientific rigor and creativity.
- Proven hands-on experience building and deploying LLM-based or agentic systems in production environments.
- Strong understanding of RAGs, MCPs, and scalable AI architectures .
- A forward-deployed engineering mindset — comfortable engaging directly with clients to understand business needs and deliver measurable results.
- Excellent communication and problem-solving skills, with the ability to translate between technical and commercial perspectives.
Why Join:
- Be part of a fast-growing Series A company that’s transforming how enterprises use AI.
- Work on real-world, high-impact AI projects with globally recognized clients.
- Collaborate with some of the brightest minds in AI and applied research.
- Join a culture that prizes curiosity, ownership, and performance — where winning as a team is the ultimate goal.
