Artificial Intelligence Engineer – HYBRID

Job Overview

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 Duration: Until end of September 2025 (likely extension) Location: Fully Remote (EU-based candidates only) Contract Type: Freelance / B2B / Contract
Summary:
We’re looking for a highly skilled AI Engineer to join a cutting-edge project with one of the world’s largest energy companies. You’ll build AI-driven solutions that go beyond traditional NLP — leveraging LLMs, RAG pipelines, and generative AI methods to transform how the business retrieves and interacts with unstructured data across the enterprise.
This is a part-time, high-impact role ideal for someone who thrives on solving complex NLP problems using modern AI tools and technologies.
How You’ll Make an Impact
You will be responsible for:
Building and optimizing retrieval-augmented generation (RAG) pipelines to search and synthesize insights from internal documentationApplying generative AI techniques and LLMs to enhance document intelligence and question-answering systemsCollaborating with cross-functional teams to understand NLP challenges and deliver tailored AI-powered solutionsWorking with Python, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models to create semantic search workflowsIntegrating your work into production environments using scalable APIs and cloud infrastructureStaying up to date on the latest advancements in open-source LLMs, prompt engineering, and NLP research
What You Bring (Skills, Capabilities)
Strong software engineering skills in Python, with a focus on AI/ML/NLP applicationsHands-on experience with LLMs (e.g., GPT-4, Claude, LLaMA, Mistral) and building RAG systemsExperience working with LangChain, LlamaIndex, or similar frameworksProficiency in vector search, embedding generation, and document chunkingSolid understanding of cloud infrastructure, containerization (Docker/Kubernetes), and deployment best practicesA proactive mindset and the ability to operate independently in a fully remote, part-time settingBonus: Experience in large enterprise or industrial domains (e.g., energy, manufacturing)