AI Engineer
About Us:
At Qbitech, we are pioneers in software development and consulting, leveraging cutting-edge technologies to create innovative solutions for a global client base. Located in Novi Sad, Serbia, a growing tech hub, our team consists of skilled professionals with deep expertise in FinTech and E-Commerce. Since our founding in 2021, we've focused on building a technology-driven future where any concept can become a reality.
Position Overview:
As an AI Engineer, you will be the hands-on builder behind the intelligent products and features that make Qbitech unique. You will own the end-to-end development of LLM-based applications, from prompt and retrieval design to evaluation, orchestration, and user interface integration. You will work closely with our cross-functional teams (including product, design, and QA) to ship high-quality, domain-aware, and trustworthy AI experiences for our clients in FinTech and E-Commerce. This role is key to integrating advanced AI into our core products, accelerating development, and creating novel solutions to complex business problems.
Requirements
- 5+ years of experience in a quantitative role such as Software Engineer, ML Engineer, or AI Engineer.
- Strong proficiency in Python and TypeScript/JavaScript (Node.js and React).
- Hands-on, production-level experience with LLM frameworks (e.g., LangChain, LlamaIndex, Haystack, etc.).
- Deep understanding of prompt engineering, retrieval-augmented generation (RAG), and AI evaluation workflows.
- Ability to design and build robust backend systems, integrating APIs, databases, and orchestration layers.
- Extensive experience with OLTP databases (e.g., PostgreSQL, MySQL, Aurora) and observability tools (e.g., Datadog, CloudWatch, Prometheus).
- Strong focus on security, quality, and writing clean, scalable code.
- Familiarity with CI/CD processes and shipping/maintaining code in production.
- Strong communication, problem-solving, and collaboration skills.
- Ability to communicate effectively in English.
Nice to have
- Experience with vector databases (e.g., Pinecone, Weaviate, Qdrant).
- Experience building multi-agent workflows or LLM tool-use systems.
- Familiarity with AWS services (Lambda, Appsync, DynamoDB, Aurora).
- Understanding of data structures and challenges.
- Experience with API development using REST or GraphQL.
Responsibilities
- Design and build sophisticated AI-powered user features, including prompt-based and retrieval-augmented generation (RAG) systems to solve complex challenges.
- Develop and maintain robust AI agents and workflows that effectively combine deterministic logic with advanced LLM reasoning.
- Rapidly prototype, test, and iterate on AI behaviors using advanced prompting, tool orchestration, and retrieval design techniques.
- Integrate AI/LLM applications with our existing backend systems, databases (PostgreSQL, DynamoDB, etc.), and third-party APIs to create seamless, intelligent products.
- Collaborate closely with product managers, designers, and other engineers to define requirements and deliver production-quality AI systems.
- Champion the use of AI internally to accelerate our own development, testing, and debugging processes.
- Produce technical documentation and facilitate knowledge sharing on AI best practices within the team.
AI Engineer
What will be your next steps?
Quick non-technical conversation
Our initial conversation is a brief, non-technical discussion to understand your background and career aspirations. We're keen to learn about your communication style and how you approach teamwork and decision-making.
60 to 90 minutes technical interview
This in-depth technical assessment, lasting 60 to 90 minutes, is designed to evaluate your specific skills and expertise. We will present you with challenges relevant to our client's requirements.
Client interview
In this stage, you will meet directly with the client for a final technical discussion. This interview will be similar in format to our internal technical assessment, allowing the client to see firsthand how your expertise aligns with their specific project needs and team.
Offer
Congratulations on successfully completing our rigorous evaluation process. We are pleased to extend an offer and recommend you to our clients.