Summary
✨ AI‑Generated
Join a growing engineering team as an early AI specialist, building production agentic systems rather than research prototypes. You will work with Python, LLM orchestration, tool calling, retrieval, and evaluation, owning major decisions around agent architecture and deployment. Commercial experience with agentic AI is required, making this a strong opportunity for an experienced practitioner to shape a rapidly evolving AI platform.
Highlights
Build production-grade agentic AI systems integrated into a live SaaS platform. As an early engineering hire, you will have substantial ownership over agent architecture, model behavior, evaluation, and how AI capabilities reach customers. The role offers high technical influence in a growing engineering team.
Description
AI Engineer, Agentic Systems, SaaS and AI Startup (Amsterdam, Hybrid)
KEY POINTS
Full time, hybrid, Amsterdam basedBuilding agentic AI systems into a live SaaS product, not research or proof of concept workPython, LLM orchestration, tool calling, retrieval and evalsEarly engineering hire into a team that is being built out from a small senior baseReal ownership of how agent architecture gets designed and shippedCommercial agentic AI experience required, this is not an entry point into the spaceSalary up to €100,000 depending on experience
ABOUT THE CLIENT
I am supporting a SaaS and AI startup that is scaling its engineering function after finding real traction with its product.
The business is putting agentic AI at the centre of the platform rather than bolting a chat window onto an existing tool.
That means engineers here own the whole path from model behaviour through to what the customer actually sees.
The engineering team is small and being built out deliberately.
Whoever joins early shapes the technical direction rather than inheriting it.
THE ROLE, AI ENGINEER
This is a hands on engineering role focused on the agentic layer of the product.
You will design and build multi step agent workflows, get them reliable enough to run in production, and own the evaluation and observability that proves they are working.
The hard part here is not calling a model, it is making agents behave predictably at customer scale.
You will work closely with the founding engineers and have direct input into architecture.
KEY RESPONSIBILITIES
Design, build and ship agentic workflows in productionImplement tool calling, function calling and multi step reasoning flowsBuild and maintain retrieval pipelines, including chunking, embedding and vector searchOwn evaluation, testing and observability for agent behaviourHandle context management, prompt design and cost and latency optimisationIntegrate LLM capability into the wider product and API surfaceDeploy and support services in cloud infrastructureWork directly with the founding team on technical direction
ESSENTIAL EXPERIENCE
Commercial experience building agentic or LLM powered systems that reached productionStrong PythonHands on with at least one agent or orchestration framework, LangGraph, LangChain, LlamaIndex, CrewAI, OpenAI Agents SDK or similarPractical experience with RAG, embeddings and vector databasesUnderstanding of how to evaluate and monitor non deterministic systemsAPI and backend engineering fundamentals, ideally FastAPI or similarCloud experience, AWS, GCP or Azure
DESIRABLE, NOT ESSENTIAL
Fine tuning, model routing or working with open weight modelsObservability tooling such as LangSmith, Langfuse or Arizepgvector, Pinecone, Weaviate or QdrantTypeScript alongside PythonDocker and KubernetesEarly stage or startup backgroundExperience mentoring other engineers
WHAT'S ON OFFER
Salary up to €100,000 depending on experienceHybrid working from AmsterdamGenuine ownership of the agentic layer of the productEarly engineering seat in a team that is being built out around you
TO APPLY
Please apply via this advert or email Daniel.Jones@searchability.com directly.
For further information, call 0203 763 3888 or 07704 152 638.
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