Build and deploy AI agents, LLM-powered applications, intelligent workflows, automations, backend services, APIs, and integrations. Translate ambiguous business problems into production-ready solutions involving retrieval, memory, tool use, structured outputs, monitoring, evaluation, and error handling. Collaborate with product, engineering, and business stakeholders while experimenting, debugging, and continuously improving AI systems in a fast-moving startup environment.
Shuru is an AI, Product and Technology Engineering company helping startups and enterprises build, scale and modernise digital products. Our teams work with high ownership, first-principles thinking and an AI-native approach to solve meaningful business problems and ship production-grade technology.
We are looking for a hands-on AI Engineer who enjoys turning ambiguous problems into working products. You will build AI agents, intelligent systems, AI-powered workflows, automations, and integrations, taking ideas from prototype to production. This role is ideal for a strong builder who can work across AI, backend systems, APIs, and real-world business workflows. You will work closely with product, engineering, and business stakeholders to understand problems, experiment with solutions, and ship reliable AI systems into production.
What You’ll Build
- AI agents capable of reasoning, tool usage, knowledge retrieval, and multi-step task execution.
- Production-grade AI workflows designed around real business problems rather than isolated demos.
- AI-powered applications and automations that improve business processes and user experiences.
- Backend services, APIs, and integrations connecting AI systems with databases, business applications, and third-party platforms.
- Knowledge-driven and memory-based AI experiences.
- Automation solutions across areas such as legal operations and other domain-heavy workflows, depending on client requirements.
- Reliable AI systems with evaluation, monitoring, error handling, observability, and continuous improvement.
Requirements
- Hands-on experience building AI agents, LLM-powered applications, automations, or workflow systems.
- Strong experience with Python, APIs, backend development, and system integrations.
- Experience working with:
- LLMs and prompt engineering
- Tool/function calling
- Structured outputs
- RAG and knowledge retrieval
- Agentic workflows
- Memory and contextual systems
- Ability to translate ambiguous business requirements into practical technical solutions.
- Strong debugging, experimentation, and problem-solving skills.
- A builder mindset -you enjoy shipping, testing, iterating, and improving systems in production.
- Comfort working with ownership in a fast-moving startup environment with limited hand-holding.
- Strong communication skills and the ability to work with product, engineering, and business teams.
- Experience working in legal tech, fintech, climate tech, or other domain-heavy environments.
- Previous experience in an early-stage or high-growth startup.
- Exposure to agent frameworks such as LangGraph, LangChain, CrewAI, or similar tools.
- Experience with vector databases, evaluation frameworks, observability, and production AI infrastructure.
- Experience designing systems where knowledge, memory, and business context are core to the user experience.
- Experience deploying and operating AI applications in production.
Benefits
- Work on international projects: Be part of a global team working with clients from across the world.
- Regular team outings: Even with remote work, we believe in building strong team bonds through regular social and team-building events.
- Collaborative & growth-oriented: Learn from senior engineers, work in a collaborative environment, and grow professionally with opportunities for career development.
- Competitive Salary and Benefits
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