GenAI Engineer

Salt; Amsterdam; On-site; EUR 200,579,000 - 257,887,000; Full time

Job summary

Salt is hiring a hands-on GenAI Engineer for a client in Amsterdam to build scalable, production-grade Generative AI and Agentic AI solutions.

The role focuses on end-to-end AI development using Python, FastAPI, React, Next.js, and TypeScript, with deployment on AWS, Docker, Kubernetes, Kafka, and Snowflake. You will own evaluation, monitoring, and security practices while collaborating across teams.

Qualifications

• Hands-on experience building GenAI and Agentic AI applications.
• Experience with end-to-end AI systems using Python and modern web stacks.
• Experience deploying at scale on AWS and container orchestration.

Responsibilities

• Build and deploy GenAI and Agentic AI apps at scale.
• Develop RAG solutions using vector DBs, embeddings, knowledge graphs.
• Build AI agents using LangChain, LangGraph, MCP.
• Develop end-to-end apps with Python, FastAPI, React, Next.js, TypeScript.
• Work with AWS, Docker, Kubernetes, Kafka, Snowflake, REST APIs.
• Implement AI evaluation, monitoring, observability, and security best practices.
• Leverage AI coding tools such as Claude Code, Cursor, OpenAI Codex.

Skills

GenAI

Agentic AI

RAG integration

Python

FastAPI

React

TypeScript

AWS

Docker

Kubernetes

Tools

LangChain

LangGraph

MCP integrations

OpenAI Codex

Claude Code

Cursor

Embeddings

Vector databases

Job description

Salt is currently hiring a GenAI Engineer for a client of ours in Amsterdam. Role is paying 70-90 euros an hour - 12 month contract - KVK/ZZP is required, We're looking for a hands-on GenAI Engineer to join our Intelligent Automation Team and build scalable, production-grade Generative AI and Agentic AI solutions that solve real-world business challenges.

Key Responsibilities & Skills:

• Build and deploy GenAI and Agentic AI applications at scale.
• Develop RAG solutions using vector databases, embeddings, and knowledge graphs.
• Build AI agents using LangChain, LangGraph, and MCP integrations.
• Develop end-to-end applications using Python, FastAPI, React, Next.js, and TypeScript.
• Work with AWS, Docker, Kubernetes, Kafka, Snowflake, and REST APIs.
• Implement AI evaluation, monitoring, observability, and security best practices.
• Leverage AI coding tools such as Claude Code, Cursor, and OpenAI Codex.

What We're Looking For:

A proactive, collaborative, and results-driven engineer passionate about AI innovation, continuous improvement, and delivering high-quality solutions.

*Rates depend on experience and client requirements