WHAT TO EXPECT

ARRK Engineering is part of the international ARRK group of companies and specialized in product development. Within the ARRK group of companies we implement product developments from virtual development to prototypes and small series production.

ARRK Engineering is part of the international ARRK group of companies and specializes in product development - from virtual development to prototypes and small-series production. Within our AI initiative, you will become the technical sparring partner who not only builds but also challenges architectural decisions across our growing AI product portfolio.

You will join a highly collaborative, multi-country team where technical proactiveness, outcome-oriented delivery, sound systems architecture, and the willingness to question assumptions are valued. This is a peer level role: we expect you to push back, propose alternatives, and raise the bar.

YOUR TASKS

Design, develop and maintain AI-powered software tools that support engineers in their daily development workflows, from coding and code analysis to testing, documentation and technical problem solving
Integrate Large Language Models (LLMs), AI APIs and AI services into practical software solutions, working with both cloud-based and self-hosted models
Develop and improve mechanisms for providing relevant context to AI models, including codebase analysis, context management, semantic chunking and token optimization
Build retrieval-based solutions that allow AI applications to efficiently work with large codebases and engineering documentation, using techniques such as embeddings, vector search and hybrid retrieval
Develop software components for processing and understanding source code and technical documentation, including syntax parsing, metadata extraction and structured representations
Prototype and evaluate new AI approaches, tools and frameworks, measuring their usefulness, quality, performance and cost
Build integrations between AI tools and existing developer ecosystems, such as source code repositories, CI/CD pipelines, development environments and internal engineering platforms
Develop reliable backend services and APIs that support AI-powered applications, with a focus on maintainability, scalability, testing and observability
Work with engineers and technical stakeholders to understand requirements and turn them into practical AI-enabled solutions
Contribute to technical discussions, documentation and knowledge sharing within the engineering team, helping to establish good practices for AI-assisted software development
Continuously explore emerging AI technologies and identify opportunities to improve developer productivity and engineering processes

YOUR PROFILE

2–5 years of experience as a Software Engineer, Software Developer or in a comparable technical role
Strong programming skills in Python and good experience with software development practices such as testing, version control, code reviews and API development
Practical experience with Generative AI, Large Language Models (LLMs), AI APIs or AI-assisted software development
Understanding of how LLMs work in practice, including concepts such as tokens, context windows, embeddings, prompting and model limitations
Experience building applications that integrate LLMs or AI services, for example through APIs such as OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI or similar platforms
Familiarity with vector databases and semantic search, such as PostgreSQL/pgvector, OpenSearch, Elasticsearch, Qdrant, Weaviate or similar technologies
Understanding of RAG (Retrieval-Augmented Generation) and experience building or integrating retrieval pipelines is an advantage
Experience working with software development tools and ecosystems such as Git, GitHub/GitLab, CI/CD and REST APIs
Familiarity with cloud platforms such as AWS, Azure or Google Cloud, particularly their managed AI services, is an advantage
Interest in code analysis and developer tooling; experience with technologies such as ASTs, Tree-sitter, code indexing or static analysis is a plus
Understanding of AI optimization techniques such as prompt optimization, context management, token reduction, model selection and caching is a plus
Experience with AI evaluation, fine-tuning, LoRA, AI agents or self-hosted models such as Ollama or vLLM is a plus
Strong analytical and problem-solving skills, with the ability to turn technical challenges into practical software solutions
Comfortable working in a collaborative, international and customer-facing environment
Excellent communication skills in English; German is a plus
Passionate about software engineering, AI technologies and continuously improving how engineers build software

YOUR BENEFITS

CONTACT

Iliana Morales Reyes

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+ 49 (0)89 / 31857-0
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For reasons of simplification, only the masculine form is used in this job advertisement. However, persons of any gender and any orientation are always meant equally.
Our job offer is equally directed at severely disabled persons and persons of equal status.

AI Software Engineer (m/f/d)