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AI Senior Engineer
Salary:
175
 - 
195
 Net B2B + VAT / Hour
40
 - 
44
 EUR B2B Contract / Hour
European Union
Apply Now!All Job Openings

AI Senior Engineer

Salary:
27125
 - 
30225
 Net B2B + VAT / Month
6200
 - 
6900
 EUR B2B Contract / Month
175
 - 
195
 Net B2B + VAT / Hour
40
 - 
44
 EUR B2B Contract / Hour
27125
 - 
30225
 Brutto UoP / Month
Location:
European Union
Apply Now!See all Job openings

Job Description

The AI Senior Engineer is a core technical contributor responsible for the end-to-end development of Generative AI applications. At this level (6–8 years), we expect a professional who can independently navigate the complexities of LLM integration, RAG pipeline construction, and production-grade deployments. You will be the primary builder of intelligent agents and document intelligence tools, ensuring they are scalable, accurate, and secure.

Responsibilities:
  • GenAI Development: Design and implement robust applications using Google Gemini, OpenAI, and open-source models for use cases like chatbots and copilots.

  • Orchestration: Build and maintain scalable pipelines using LangChain and LlamaIndex, focusing on multi-step workflows.

  • RAG Implementation: Construct end-to-end RAG pipelines that integrate enterprise data sources (PDFs, APIs, databases) while optimizing for high relevance and low hallucination.

  • Vector Management: Manage vector stores (Pinecone, Weaviate, FAISS) and design efficient embedding strategies and similarity search mechanisms.

  • Service Integration: Develop and expose AI microservices via REST/GraphQL APIs, ensuring they are ready for enterprise-wide consumption.

  • Performance Monitoring: Implement RAGAS frameworks to evaluate model precision, recall, and latency.



Requirements

  • Extensive Experience: 6–8 years of professional software engineering experience, with at least 2+ years dedicated exclusively to Generative AI and LLM implementation.

  • Advanced Python: Mastery of Python for AI/ML, including experience with asynchronous programming and high-performance web frameworks (FastAPI, Flask).

  • LLM Expertise: Deep hands-on experience with Google Gemini (Pro/Ultra/Flash) and a solid understanding of token management and prompt engineering techniques.

  • Framework Mastery: Proficiency in LangChain or LlamaIndex for building complex chains and agentic workflows.

  • Database Knowledge: Proven experience with Vector Databases (Pinecone, Weaviate, FAISS, or Chroma) including indexing, metadata filtering, and hybrid search.

  • Cloud & DevOps: Strong hands-on experience with Docker for containerization and basic orchestration within Google Cloud Platform (GCP).

  • Evaluation Metrics: Experience using RAGAS or similar frameworks for hallucination detection and model benchmarking.

  • Software Excellence: Strong understanding of CI/CD pipelines, Git-flow, and automated testing (Pytest).

  • Communication: Professional English (C1 level) with the ability to participate in deep technical discussions with global clients.

  • Agile Mindset: Deep familiarity with Agile/Scrum methodologies and Jira for task management.



Benefits

  • Fully remote work model
  • Professional training programs – including Udemy and other development plans
  • Work with a team that’s recognized for its excellence. We’ve been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We’ve also received the Great Place To Work® certification for five years in a row


Ready to apply?
Check out our recruitment process*

* Please Note: different job opportunities may have a slightly different version of this process.