Senior AI Engineer

Cavendish Professionals; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

Cavendish Professionals is seeking a Senior AI Engineer for our AI Incubation Team in a hybrid Warsaw setup. You will design, build, and deploy Generative AI services, creating scalable AI systems and data pipelines while ensuring reliability and observability.

You will work with Product Owners and data scientists to translate concepts into technical specs and take E2E ownership of AI maintenance for a portion of time.

Qualifications

• Advanced coding in Python or Java and backend frameworks (FastAPI/Flask/Django).
• Experience with containerization and orchestration tools (Docker, Kubernetes, GitHub Actions, MLFlow).
• Experience implementing CI/CD and MLOps pipelines in cloud environments (Azure ML, Databricks, AWS).
• Fluent English for daily communication.

Responsibilities

• Design, develop, and deploy AI and GenAI services from PoC to production.
• Build and maintain data pipelines and deployment workflows for scalable AI systems.
• Implement CI/CD and MLOps to automate training, testing, and deployment.
• Collaborate with Product Owners and data scientists to translate concepts to specs.
• Take E2E ownership by leading AI maintenance and operations (20–25% time).

Skills

Generative AI

Multi-agent systems

Agile/SAFe

English

Tools

Python

FastAPI

Flask

Django

Docker

Kubernetes

GitHub Actions

MLflow

Azure ML

Databricks

AWS

LangChain

CrewAI

SAP AI Core

Job description

We are looking for a dynamic Senior AI Engineer to join the AI Incubation Team at an in-house technology consultancy within a global consulting firm. You will play a key role in developing scalable Generative AI and multi-agent systems, transforming trusted data into intelligent action across Finance, Spend, People Solutions, and Analytics.

What You'll Be Doing:

• Designing, developing, and deploying AI and GenAI services from proof of concept to full enterprise production.
• Building and maintaining data pipelines and model deployment workflows for scalable, secure AI systems.
• Implementing CI/CD and MLOps practices to automate model training, testing, and deployment.
• Collaborating with Product Owners and data scientists to translate concepts into technical specifications.
• Taking E2E ownership by leading the AI maintenance and Operations team (ca. 20-25% of your time) to ensure reliability, observability, and compliance.

What We're Looking For:

• Proven experience engineering robust AI solutions with a proactive, problem-solving consultant mindset.
• Deep understanding of software engineering principles, distributed systems, and big data platforms.
• Strong familiarity with Agile/SAFe methodologies and collaborative engineering practices.
• Familiarity with multi-agent or generative AI frameworks (LangChain, CrewAI) and SAP AI Core is a strong plus.

Must-Haves:

• Advanced coding skills in Python (preferred) or Java, along with backend frameworks (FastAPI, Flask, Django).
• Hands-on experience with containerization and orchestration tools (Docker, Kubernetes, GitHub Actions, MLFlow).
• Solid experience implementing CI/CD and MLOps pipelines in cloud environments (Azure ML, Databricks, AWS).
• Fluent English for daily communication.

Location & Working Setup:

• Hybrid Work Model Warsaw, Poland