01
TRCI-26-06279
Senior Agentic AI Engineer
Senior Agentic AI Engineer needed to design, build, and deploy enterprise-grade AI solutions using LLMs, RAG, embeddings, and multi-agent systems. The role focuses on AI-powered automation and intelligent assistants, building scalable AI/data pipelines on Azure/AWS, and implementing MLOps for deployment, monitoring, evaluation, and retraining. Strong Python/SQL, hands-on experience with LangChain/LlamaIndex and vector databases, plus cloud, Databricks/Spark/Airflow, and containerized CI/CD (Docker/Kubernetes) are required. Contract role based onsite in Amsterdam.
Position summary
- Location
- Netherlands
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 8 years and Maximum 10 years
Role overview
Why This Role Matters.
Senior Agentic AI Engineer needed to design, build, and deploy enterprise-grade AI solutions using LLMs, RAG, embeddings, and multi-agent systems. The role focuses on AI-powered automation and intelligent assistants, building scalable AI/data pipelines on Azure/AWS, and implementing MLOps for deployment, monitoring, evaluation, and retraining. Strong Python/SQL, hands-on experience with LangChain/LlamaIndex and vector databases, plus cloud, Databricks/Spark/Airflow, and containerized CI/CD (Docker/Kubernetes) are required. Contract role based onsite in Amsterdam.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Build and optimize AI workflows using LangChain, LlamaIndex, and cloud AI services.
03
Design scalable AI and data pipelines on Azure/AWS.
04
Implement MLOps practices including model deployment, monitoring, evaluation, and retraining.
05
Collaborate with business and engineering teams to deliver AI-driven solutions.
06
Ensure security, governance, and reliability of AI platforms. Required Skills
07
8+ years of Software, Data, or AI Engineering experience.
08
Strong Python and SQL programming skills.
09
Experience with LangChain, LlamaIndex, Azure OpenAI, or similar AI frameworks.
10
Knowledge of Databricks, Spark, Airflow, and cloud platforms (Azure/AWS).
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
SQL
Required
03
LLM
Required
04
Agentic AI
Required
05
multi-agent
Required
06
RAG
Required
07
retrieval augmented generation
Required
08
embeddings
Required
09
vector database
Required
10
LangChain
Required
11
LlamaIndex
Required
12
Azure OpenAI
Required
13
Azure
Required
14
AWS
Required
15
Databricks
Required
16
Spark
Required
17
Airflow
Required
18
MLOps
Required
19
model deployment
Required
20
model monitoring
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
8+ years of Software Engineering, Data Engineering, or AI Engineering experience
Python
SQL
LLMs (Large Language Models)
Agentic AI / multi-agent systems
RAG (Retrieval-Augmented Generation)
Embeddings
Vector databases
LangChain and/or LlamaIndex
Azure and/or AWS cloud platforms
Azure OpenAI (or similar cloud AI services)
Databricks
Apache Spark
Apache Airflow
MLOps (deployment, monitoring, evaluation, retraining)
Docker
Kubernetes
CI/CD
Enterprise scalability, security, governance, and reliability considerations
Preferred
Nice to Have
Experience with both Azure and AWS (vs. one)
Experience with multiple vector databases (e.g., Pinecone/Weaviate/FAISS/Milvus)
Experience with production LLM evaluation/observability tooling (general)
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Senior Agentic AI Engineer
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