Our client is looking for a Founding AI Engineer to join its product engineering team and help define how next-generation AI agents are embedded directly into it’s products.
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You will work closely with product managers, designers, and engineers to build practical, scalable, and product-integrated AI features, with a focus on a set of AI Native products.
This is a high-impact role for someone who thrives at the intersection of deep technical expertise and user-centric product design, and who is excited by the opportunity to ship real AI applications that matter.
Roles & Responsibilities
- Design and implement AI agents and intelligent systems that directly enhance core user workflows across our products
- Develop and maintain internal chatbot and LLM applications, ensuring seamless integration with existing systems
- Collaborate with product and design teams to identify high-leverage user problems that can be solved with AI-driven experiences
- Develop capabilities across the full AI pipeline, including data collection, fine-tuning, agent orchestration, prompt engineering, and performance evaluation
- Integrate with external APIs, LLMs (OpenAI, Anthropic, open-source models), and enterprise data systems to build composable and context-aware agents
- Prototype, test, and productionize complex agentic workflows
- Help define standards for reliability, latency, and interpretability in AI applications, ensuring that AI enhancements feel seamless and trustworthy to users
- Maintain and improve infrastructure for training, monitoring, and continuously improving deployed models and agents
- Collaborate effectively with frontend developers, product managers, and other stakeholders to gather requirements and deliver high-quality solutions
Technical Skills:
- Strong proficiency in Python and relevant AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex)
- Experience with modern LLM ecosystems, vector databases, RAG pipelines, and autonomous agent frameworks
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes)
- Track record of shipping AI/ML-powered features in production environments
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Data Science, or equivalent practical experience
- 4+ years of experience in machine learning, NLP, or AI development, particularly with LLMs and chatbot frameworks
- Proficiency in Python, TensorFlow, and data analysis tools
Product Orientation:
- Prior experience working in product-led companies where engineering decisions are guided by user value and speed of learning
- Empathy for non-technical users and a passion for simplifying complex workflows through thoughtful design and automation
Domain Experience (Preferred but Not Required):
- Interest in how AI can transform organizational workflows, decision-making, and employee experiences
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