WeCookIT logo

AI / LLM Engineer

WeCookIT
Department:Data Analysis
Type:REMOTE
Region:EU
Location:Romania
Experience:Mid-Senior level
Estimated Salary:€60,000 - €90,000
Skills:
MODEL QUANTIZATIONNATURAL LANGUAGE UNDERSTANDINGHUGGINGFACEPYTHONSPRING BOOTREST/JSONAPI INTEGRATIONARTIFICIAL INTELLIGENCEOLLAMALARGE LANGUAGE MODELSJAVALARGE LANGUAGE MODELS (LLMS)FLASKFALCONAWSFASTAPI
👁️ Views: 24🚀️ Applied: 3
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Job Description

Posted on: August 11, 2025

We are looking for an AI Engineer with hands-on experience in Large Language Models (LLMs) to integrate intelligent features into our software product. This role focuses on Java backend development and requires expertise in both cloud and offline/on-premises AI solutions. Key Responsibilities

  • Integrate LLMs (e.g., GPT-4, Falcon, LLaMA, Mixtral) into Java backend systems.
  • Develop local services (in Python or Java) to serve offline models when needed.
  • Design and maintain REST/JSON endpoints for communication between Java services and AI modules.
  • Personalize and adapt model outputs through prompt engineering.
  • Implement logic for natural language understanding, question/answer generation, and response analysis.
  • Support hybrid architecture: cloud-first with fallback or dedicated on-premises mode.
  • Ensure data privacy, performance, and security in AI integrations.
  • Collaborate with backend, frontend (Angular), and product teams for seamless integration.

Required Skills & Experience

  • Experience with LLMs (e.g., GPT, Falcon, LLaMA, BloomZ).
  • Experience integrating APIs (OpenAI, HuggingFace, Ollama).
  • Strong Python and Java skills for backend development (FastAPI, Flask).
  • Expertise in Java backend development, especially with Spring Boot.
  • Familiarity with AWS services (API Gateway, EC2, Lambda, etc.).
  • Experience deploying AI models in on-premises environments.
  • Familiar with model quantization and serving tools (HuggingFace, llama.cpp, Ollama).

Nice To Have

  • Familiarity with LangChain, vLLM, or Retrieval-Augmented Generation (RAG).
  • Experience with multilingual prompt engineering.
  • Working knowledge of Angular.
  • Experience with AI solutions in offline enterprise environments.
  • Knowledge of privacy regulations (e.g., GDPR) and edge computing best practices.

Who You Are

  • Solution-oriented, with strong problem-solving skills.
  • Comfortable working autonomously and taking technical ownership.
  • Eager to collaborate with cross-functional teams.
  • Curious and passionate about exploring new AI technologies.

What We Offer

  • An innovative product focused on real-world Generative AI.
  • Influence in technical decisions and solution architecture.
  • Flexible, remote work with autonomy.
  • Growth opportunities with modern tools and open-source models.

If you’re excited about making an impact in the AI space, we’d love to hear from you! Apply now and join our dynamic team Skills: model quantization,natural language understanding,huggingface,python,spring boot,rest/json,api integration,artificial intelligence,ollama,large language models,java,large language models (llms),flask,falcon,aws,fastapi

Originally posted on LinkedIn

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👁️ Views: 24🚀️ Applied: 3
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