AI Engineer (Python Software Engineer + GenAI) | Digital&IPA

Xperteez Technology; Deutschland; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Team-building trips

Hackathons

Start-up atmosphere in a large corp

Zusammenfassung

Xperteez Technology seeks an AI Engineer to design and implement modern AI-based applications, co-create scalable architectures, and document projects clearly. You will collaborate closely with users to solve problems and deliver robust software solutions.

The role emphasizes strong Python proficiency, SDLC experience, and hands-on work with LLMs, cloud platforms, and containerized deployments in enterprise environments.

Qualifikationen

• Higher education in computer science or related field.
• Advanced knowledge of Python and experience in SDLC (min. 3 years).
• Knowledge of cloud platforms: AWS, Azure or GCP.
• Experience with SQL and NoSQL databases.
• In-depth understanding of LLMs: transformers, embedding, tokenization and API integration.
• Proficiency in prompt engineering and LLM orchestration tools (LangChain, LangGraph, Semantic Kernel, Crew AI).
• Experience using vector databases (Pinecone, PGVector, Weaviate, FAISS, Milvus) in GenAI solutions.
• Strong software engineering skills in Python and coding best practices.

Aufgaben

• Design and implement modern AI-based applications.
• Co-create efficient solution architecture.
• Create clear, maintainable project documentation.
• Collaborate with users to solve problems and implement software solutions.

Kenntnisse

Python

SDLC

System design

LLMs

Prompt engineering

LLM orchestration

API design

Microservices

Security

Problem solving

Ausbildung

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

GitHub

Azure DevOps

Jobbeschreibung

AI Engineer

Your future role:

• design and implementation of modern AI-based applications,
• co-creation of efficient solution architecture,
• creating clear and easy-to-maintain project documentation,
• participating in software implementations and collaborating with users in solving problems.

Candidate profile:

• higher education in the field of computer science or related education,
• advanced knowledge of Python and experience in SDLC (min. 3 years),
• knowledge of cloud platforms: AWS, Azure or GCP,
• experience in working with SQL and NoSQL databases,
• in-depth understanding of LLMs: transformers, embedding, tokenization and API integration,
• proficiency in prompt engineering and LLM orchestration tools (LangChain, LangGraph, Semantic Kernel, Crew AI),
• experience in using vector databases (Pinecone, PGVector, Weaviate, FAISS, Milvus) in GenAI solutions,
• high software engineering skills in Python, knowledge of coding standards and good practices,
• experience in code review, debugging, testing and working with version control systems,
• knowledge of CI/CD and automation tools (GitHub, Azure DevOps, Docker, Kubernetes),
• experience in containerizing AI solutions and implementing them in enterprise environments,
• the ability to integrate logging, monitoring and alert systems,
• the ability to solve problems based on systemic thinking and the so-called first principles,
• the ability to design scalable, resilient and secure systems,
• experience in API design, event architectures, microservices, serverless and containers,
• knowledge of enterprise integration patterns (messaging, pub/sub, event sourcing),
• knowledge of IAM, RBAC, secret management and network security (VPCs, firewalls).

By joining us, you gain:

• interesting and ambitious projects - no routine and repetition of activities,
• flexible working hours,
• the possibility of implementing international projects,
• possibility of partial remote work,
• excellent working atmosphere, including, among others, team-building trips and team occasional meetings, hackathons,
• a working atmosphere as close as possible to a start-up within a large corporation.

What does the recruitment process look like?

• after a positive CV verification, our Recruiter will contact you by phone to conduct a short interview,
• Let's get to know each other better during the recruitment interview.