Senior AI Engineer

Top 3 reasons to join us

• Clear career growth, competitive pay & benefits
• Build a product that inspires balance and growth
• Top engineering team - Unique AI + I Ching project

Job description

About Us:

AI+DI is a living system, not just a product. We combine Artificial Intelligence and Divine Intelligence to help people return to their inner wholeness, live consciously, and work with clarity and purpose. In a time when society is out of balance and technology threatens to replace humanity, we believe that true evolution lies in co-creation, not control.

AI+DI is more than a tool. It is a philosophy, a way of thinking, a way of being — a compass for life and work in a changing world.

About The Product:

The core product of AI+DI is a digital companion — always by the side of each individual and organization, anytime and anywhere — helping them understand themselves, unlock their potential, and make decisions grounded in a balance of reason, emotion, and the natural laws.
 

From this foundation, we are building the AI+DI ecosystem of Divine Intelligence, where every digital tool exists to serve the harmonious development of both human beings and the world they live in.
 

AIDI means Awakening Inner Depths Intelligently and Aligning Intellect by Divine Intelligence

What You Will Do: 

• Contribute to software engineering best practices: testing, CI/CD, code reviews, and scalable architectures.
• Design, develop, and deploy LLM-based AI agents and applications for real-world use cases.
• Apply data and context engineering strategies to improve grounding, retrieval, and overall agent effectiveness.
• Implement evaluation frameworks and metrics to measure performance, reliability, and quality of AI agents.
• Optimize LLM efficiency and reduce costs using techniques like caching, hybrid retrieval, and context management.
• Build defense mechanisms to safeguard agents from hacking, prompt injection, and other adversarial attacks.
• Implement guardrails and safety policies to ensure responsible AI behavior.
• Design data security features such as user-context isolation and “on behalf of signed-in user” authorization flows.
• Collaborate with infra teams to ensure performance, resilience, and secure networking.
• (Optional but valued) Support on-prem deployments of LLM applications for enterprise customers.

Your skills and experience

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 3–5+ years of professional experience in AI/ML engineering or applied data science.
• Proficiency in Python.
• Solid software engineering skills: designing APIs, applying CI/CD, monitoring, debugging.
• Proven experience building and deploying LLM-based agents/applications in production.
• Familiarity with retrieval pipelines, embeddings, and hybrid search (RAG).
• Hands-on experience with AI evaluation frameworks & testing (accuracy, grounding, latency, cost).
• Experience with cost optimization techniques for LLM workloads (caching, batching, retrieval optimization).
• Strong background in AI defenses & guardrails (prompt injection protection, adversarial testing, fallback flows).
• Knowledge of data security for AI apps (authentication, authorization, user isolation).
• Familiarity with vector databases (Pinecone, Weaviate, Milvus, FAISS, Azure AI Search).

Big Plus If You Have:

• Familiarity with cloud infrastructure (Azure, AWS, or GCP).
• Experience with LangChain, LlamaIndex, Haystack (RAG/agent orchestration).
• Experience with model fine-tuning & training (Hugging Face, PyTorch, TensorFlow, JAX).
• Knowledge of multi-agent workflows and advanced orchestration.
• Experience delivering on-premises AI/LLM deployments for enterprise customers.
• Prior experience with enterprise AI security or contributions to open-source AI frameworks.

Why you'll love working here

• Competitive salary, performance-based bonus, and comprehensive benefits.
• Opportunity to work on cutting-edge AI products with real-world impact.
• A collaborative, growth-oriented environment where your ideas shape the roadmap.
• Flexible working arrangements (remote/hybrid).
• For senior role: clear career growth path with the ability to lead AI projects and mentor junior engineers.
• Direct contribution to building a product that positively impacts users' inner balance and development.
• Professional development budget for courses, conferences, and certifications.
• Access to the latest LLMs, AI infrastructure, and evaluation tools.