AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities
AI / Machine Learning

Build and deploy AI-powered applications using existing Large Language Models (LLMs).

Design systems that ingest data, extract structured insights, and generate accurate outputs.

Develop RAG pipelines, chunking strategies, and LLM orchestration workflows.

Build tools for model training, evaluation, inference serving, monitoring, and alerting.

Experiment with modern ML frameworks and open-source AI tools.

Software Engineering

Develop scalable microservices that integrate AI models with production systems.

Build APIs and backend services to process and manage AI-generated data.

Work with modern programming languages such as Python, JavaScript, Go, or Rust.

Data Engineering

Design pipelines to extract, transform, and load data from multiple sources.

Clean, normalize, and validate datasets for model usage.

Optimize data pipelines for reliability and performance.

Database & Infrastructure

Design database schemas and optimize queries.

Manage performance and scalability of data storage systems.

Ensure AI infrastructure is production-ready and scalable.

Collaboration

Work closely with product managers, engineers, and subject matter experts.

Communicate technical challenges and solutions clearly.

Help define best practices for AI system architecture and development.

Requirements

Based in the European Union

8+ years of software engineering experience

Strong experience with Python or JavaScript

Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar)

AI / LLM Experience

Experience building RAG systems

Knowledge of chunking strategies for LLM optimization

Experience with LangChain, LangGraph, or similar orchestration tools

Familiarity with AI monitoring, observability, and evaluation frameworks

Experience building agent-based workflows or AI automation

Engineering Experience

Experience building microservices and scalable systems

Strong knowledge of data pipelines and ETL processes

Experience designing and optimizing databases and data models

Additional Skills

Strong understanding of ML concepts and NLP techniques

Ability to work with ambiguous problems and rapidly evolving AI tools

Experience with modern software development practices (Git, testing, CI/CD, code reviews)

Engagement Details

Location: Remote (EU-based freelancers only)

Contract: Freelance

Availability: Part-time or Full-time

Duration: Long-term collaboration possible

Nice to Have

Experience building AI agents or multi-agent workflows

Experience with evaluation frameworks for LLMs

Experience deploying AI infrastructure in production environments