Founding Engineer
12 ore fa
We're looking for a
Founding AI Engineer
to help build Akaion's core intelligence layer from day one.
You'll design, ship, and scale production-grade AI systems that power our next-generation products.
Join Akaion and shape the future of our AI-first platform.
You'll work at the intersection of product, research, and engineering to turn cutting-edge AI into real-world impact.
What You'll Do
- Design and build end-to-end AI systems (from data ingestion to production inference)
- Solid understanding of REST APIs, async systems, and production engineering
- Develop and deploy LLM-powered agents and multi-agent architectures
- Implement RAG pipelines (vector databases, embeddings, retrieval optimization)
- Build scalable GenAI services and APIs for product integration
- Design prompt engineering, tool calling, function routing, and orchestration layers
- Optimize model performance, latency, and cost
- Deploy AI workloads on Google Cloud Platform (GCP) (Cloud Run, GKE, Vertex AI, storage, networking)
- Build monitoring, logging, evaluation and feedback loops for AI systems
- Collaborate directly with product and founding team on roadmap and architecture decisions
What We're Looking For
- Strong experience with Python for AI/ML and backend systems
- Hands-on experience with LLMs, GenAI frameworks (LangChain, LlamaIndex, OpenAI SDKs or similar)
- Experience building RAG systems and vector search pipelines
- Knowledge of agent-based architectures and AI orchestration patterns
- Experience with cloud infrastructure (GCP preferred)
- Familiarity with Docker, containerized AI workloads, and scalable deployments
- Ability to move fast and own systems end-to-end
Nice to Have (Big Plus)
- Experience with Vertex AI, HuggingFace, fine-tuning or model serving
- Knowledge of streaming pipelines, data engineering, or MLOps
- Experience with evaluation frameworks for LLMs
- Background in startup or early-stage environments
- Interest in AI agents, autonomous systems, and AI-native products
Why Akaion?
You'll be a founding technical pillar
Massive ownership and architectural influence
Real product impact (not research-only)
Build AI systems that go to production, not demos
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