Summary
✨ AI‑Generated
A freelance AI engineering role focused on building production-grade intelligent automation applications, from design and development through deployment and scaling.
Highlights
High-impact AI engineering contract with flexible hybrid work, hands-on development, and opportunities to build advanced automation solutions.
Description
Intelligent Automation Developer (Agentic AI) | Freelance Contract
🚀 Join a high-impact AI engineering team building next-generation intelligent automation solutions at scale.
We are seeking an experienced Intelligent Automation Developer to help design, build and enhance production-grade Agentic AI applications that solve complex business and financial challenges.
This is a hands-on opportunity for a technically strong AI engineer who thrives in a fast-paced environment and can independently deliver scalable AI solutions from development through to deployment.
Contract Details
Freelance / Independent Contractor6-Month Contract (with potential extension)€100 per hour + VAT on topAmsterdam, NetherlandsHybrid Working: 2 days per week onsite in AmsterdamFull-time contract engagement
The Opportunity
You'll join a growing Intelligent Automation team focused on scaling an existing portfolio of AI-powered applications.
This role is not focused on traditional RPA technologies.
Instead, you'll work on cutting-edge Agentic AI, LLM-powered applications, workflow automation, orchestration pipelines and production AI systems.
You will be responsible for developing, deploying, evaluating and maintaining enterprise-grade AI solutions while collaborating directly with business stakeholders to deliver measurable outcomes.
Key Responsibilities
Build and maintain production-ready GenAI and Agentic AI applicationsDevelop scalable AI workflows using LangChain and LangGraphDesign and maintain LLM evaluation frameworksCreate and optimize RAG-based solutions and vector search implementationsDevelop and manage Apache Airflow workflows, DAGs and orchestration pipelinesDeploy and support AI applications in Kubernetes environmentsMonitor model and application performance using observability toolingWrite high-quality, maintainable Python codeSupport testing, deployment, monitoring and continuous improvement initiativesCollaborate with stakeholders to gather requirements and deliver solutionsContribute to regular sprint deliverables in an Agile environment
Essential Skills & Experience Must-Have
Strong commercial experience with PythonExperience building Agentic AI applicationsStrong knowledge of LangChain and LangGraphExperience developing and maintaining LLM Evaluation FrameworksHands-on experience with Apache AirflowStrong experience with KubernetesExperience deploying and supporting AI solutions in production environmentsKnowledge of RAG pipelines, vector databases and embeddingsExperience working with LLMs and Generative AI technologiesStrong SQL skillsExperience with observability and monitoring platforms including:HoneycombArizeGrafanaExperience with cloud environments and modern software engineering practicesStrong communication and stakeholder management skillsHighly Desirable
OpenAI APIVertex AIMLflowDockerTerraformAWS (S3, EC2, RDS, Lambda, IAM, CloudWatch)SnowflakePySparkBigQueryMLOps and CI/CD practices
What We're Looking For
Approximately 3-7+ years of relevant software engineering and AI development experienceDegree in Computer Science, Engineering or a related technical disciplineAbility to work autonomously with minimal supervisionStrong problem-solving and analytical skillsProven experience delivering production-grade AI systemsComfortable working directly with stakeholders and owning outcomesA collaborative mindset with a passion for continuous improvement
If you're passionate about building scalable AI solutions and have strong experience across Python, LangChain, LangGraph, Airflow and Kubernetes, we'd love to hear from you.
Apply today with your latest CV and contract availability.