Senior Python Back-End Engineer with Gen AI experience (#4230)

N-iX; Deutschland; Hybrid; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading tech solution provider in Germany seeks a Senior Python Back-End Engineer with an interest in applied AI. The ideal candidate will integrate LLMs and retrieval-augmented generation workflows into SaaS products. Responsibilities include designing backend services that use LLM APIs, building agent frameworks, and collaborating with product managers. The position offers flexible working arrangements and a competitive salary, alongside professional development tools and active tech communities.

Leistungen

Flexible working format

Competitive compensation package

Professional development tools

Active tech communities

Qualifikationen

• 3 - 5+ years of experience as a backend or platform engineer.
• Strong skills in Python and TypeScript/Node.js.
• Hands-on experience with AI/LLM APIs and RAG frameworks.

Aufgaben

• Design and implement backend services that integrate LLM APIs.
• Build and maintain prompt orchestration logic and agent frameworks.
• Work with vector databases to enable semantic search.

Kenntnisse

Python

TypeScript/Node.js

Prompt engineering

Agent design

AI/LLM APIs

Tools

LangChain

LlamaIndex

Pinecone

Weaviate

Jobbeschreibung

Senior Python Back-End Engineer with Gen AI experience (#4230)

REFERRAL BONUS
$1000

Europe, Ukraine

Work type:

Office/Remote

Technical Level:

Senior

Job Category:

Software Development

Project:

Tech solution provider for clinical research

We’re looking for a backend-focused software engineer with a strong interest in applied AI to help us integrate LLMs, RAG pipelines, and agentic workflows into our SaaS products. This role is not about building models from scratch - it’s about engineering production-grade systems that harness existing AI models and frameworks to deliver real product value.

You’ll collaborate with product managers, LLM specialists, and domain experts to design, build, and scale intelligent features powered by modern AI technologies.

Responsibilities

• Design and implement backend services that integrate LLM APIs (e.g., OpenAI, Claude) and retrieval-augmented generation (RAG) architectures
• Build and maintain prompt orchestration logic, agent frameworks, and tool integrations
• Work with vector databases (e.g., Pinecone, Weaviate, pgvector) to enable semantic search and retrieval
• Collaborate with product and validation teams to ensure outputs are reliable, safe, and aligned with domain expectations
• Implement monitoring, observability, and fallbacks for AI-driven services in production
• Contribute to internal SDKs, templates, and documentation for reusability across product teams

Requirements

• 3 - 5+ years of experience as a backend or platform engineer
• Strong skills in Python, TypeScript/Node.js, or similar backend stack
• Hands-on experience with AI/LLM APIs, RAG frameworks (LangChain, LlamaIndex), or vector stores
• Understanding of prompt engineering, agent design, or AI system patterns
• Comfort working with non-deterministic systems and building safeguards around them
• Strong software engineering fundamentals: clean architecture, testing, CI/CD, logging

Nice to Have

• Experience with agentic AI tools (LangGraph, CrewAI, etc.)
• Familiarity with LLM evaluation techniques or AI observability platforms
• Exposure to regulated environments (e.g., clinical, financial, legal tech)

We offer*

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing