Full-Stack AI Developer – Engineer

atsalesHAX Consulting GmbHRemoteDE flagGermanyFull-timeAI EngineerMid-levelSenior€60k – €110k/year

Posted Aug 13

This is a fully remote position, open to applicants in Germany.

📋 Description

• Design and develop the server-side RAG pipeline, encompassing query processing, embeddings, vector search, and prompt construction.

• Construct both frontend and backend systems utilizing exclusively server-side LLM API calls.

• Implement a 3-tier subscription model, which includes a 7-day trial through Stripe.

• Establish robust webhook logic for tier validation directly within the database.

• Create an automated pipeline for the transcription, cleaning, chunking, and storage of new audio and video content in the vector database.

• Develop an internal behavioral analytics dashboard to monitor search queries, emotional tone, content gaps, and usage limits in real time.

• Work independently within a 12-week timeline from build to launch.

• Actively align technical decisions with the Project Lead.


⛳️ Requirements

• Extensive experience in building contemporary full-stack web applications.

• Preferably experienced with Next.js (React) for the frontend and Node.js (Express or Next.js API Routes) for the backend.

• Practical experience in developing RAG systems.

• Familiarity with managing vector databases like Pinecone or Weaviate.

• Experience working with LLM APIs, notably Anthropic Claude Sonnet and OpenAI.

• Proficient in PostgreSQL, for example, via Supabase.

• Experience with authentication solutions such as Clerk or Supabase Auth.

• Skilled in securely implementing Stripe subscriptions, dunning, and webhooks.

• Strong awareness of security practices; API keys and rate limits should be managed and enforced on the server side.

• Capability to work autonomously within a strict 12-week build-to-launch timeframe.

• Ability to proactively collaborate on technical decisions with the Project Lead.


🏝️ Benefits

• 100% remote: Enjoy flexible working arrangements from any location.

• Contribute to an innovative RAG AI system utilizing modern LLMs and a cutting-edge tech stack.

• Take on significant responsibilities and make a high-impact contribution to system development.

• Maintain short communication lines directly with the Project Lead.

• Opportunity for long-term collaboration for maintenance and further development following a successful launch.

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