Go backBe part of the Day 1 team building the future of enterprise AI
kAIgentic Private Limited is a Singapore-headquartered start-up with presence across Singapore, India, UK, Germany, US, and Japan. We are on a mission to help enterprises elevate outcomes by uniting human insights with technology innovation and empowering everyone to unlock real value.
Most enterprises struggle to transform because their tacit knowledge is hidden, their systems are fragmented, and their risk tolerance is low. kAIgentic platform provides an end-to-end environment that captures knowledge, designs future workflows, and runs them as governed agentic operations. The outcome is an organization that evolves faster than technology itself.
Now, we’re assembling our engineering team in India to build the future of enterprise operations. As an AI Engineer, you will be part of our Day 1 engineering team, shaping the foundation of kAIgentic’s enterprise AI platform.
Why Join Us?
- High-Impact Work – Build a live enterprise-grade AI platform used in complex, regulated environments.
- Leadership & Mentorship – Collaborate with leaders who have built and scaled systems at global technology companies.
- Competitive Compensation & performance-linked rewards.
- Team & Culture – Flat hierarchy, values-driven leadership and an opportunity to shape the culture
- Global Exposure – Collaborate across Singapore, India, and global client environments.
- In-office with Flexibility – Collaborative workplace in India with flexible hours to balance focus and flow.
What You’ll Do
- Design, develop, and deploy AI solutions using LLMs, embeddings, RAG pipelines, and generative AI techniques.
- Build and optimize multi-step Agentic workflows including planning, tool-use, and function-calling.
- Implement strategies for prompt engineering, context window management, memory, and conversation orchestration.
- Work with vector databases and retrieval systems to enable high-quality contextual reasoning.
- Develop backend services and APIs that integrate AI capabilities into the platform.
- Collaborate with architects, backend teams, and product teams to deliver high-performance AI features.
- Rapidly prototype new LLM capabilities, evaluate emerging models, and experiment with new AI techniques.
- Stay current with advancements in LLMs, agent frameworks, knowledge systems, and generative AI.
What You’ll Bring
- 5–8 years of experience developing and deploying AI/ML applications.
- Proven experience working with LLMs (commercial or open-source), fine-tuning, embeddings, and prompt engineering.
- Experience with vector databases (FAISS, Pinecone, Weaviate, Milvus) and RAG system design.
- Strong Python skills and experience with frameworks such as FastAPI or Flask.
- Hands-on experience designing agentic workflows or tool-using AI systems.
- Experience with Model Context Protocols (MCPs) is required.
- Strong understanding of deep learning, transformers, and knowledge processing.
- Excellent communication and ability to work cross-functionally.
