AI-engineer
Belgrade
Unlimit
One-stop-shop to facilitate the launch, experience, and growth of your business. Leverage 1000+ unique local and global payment methods for a borderless approach.We're looking for a creative and driven AI Engineer to help us design, build, and deploy intelligent automation and agent-based solutions that transform workflows across various business areasâsuch as Development, Testing, AML, Legal, and HR. Using cutting-edge tools like n8n, LangChain/LangGraph, vector databases (RAG), advanced prompting methods, and the latest MLOps/LLMOps practices, you'll create powerful AI agents in Slack that streamline processes, enhance compliance, and spark innovation. Youâll also craft high-quality, production-grade AI code and integrations that fuel our automated agents.
What You'll Be Doing:
- At Unlimit, AI isnât a side project â itâs core to how we operate and innovate. As an AI Engineer, your day-to-day wonât be about just tuning models or writing scripts in isolation. Youâll be building real-world systems that make decisions, automate complex workflows, and empower teams across the company.
- Youâll start by diving deep into our operations â identifying high-impact opportunities where automation can replace repetitive processes. Youâll design and implement orchestrated workflows that tie together APIs, databases, and AI models, with monitoring baked in from day one so we trust what we deploy.
- Youâll also get your hands dirty developing conversational agents and intelligent bots that do more than just answer questions â they take actions, understand nuance, and support our teams across compliance, support, and product development. Some of these agents will live in Slack, others on the web, and some will integrate with tools we havenât adopted yet â youâll shape that roadmap.
- Much of your work will touch on retrieval-augmented generation (RAG) pipelines. Youâll implement vector search solutions, blending large language models with live business data so our systems always have the right context at the right time. Youâll experiment with prompt engineering strategies â from chain-of-thought to few-shot â running automated evaluations to see what truly moves the needle.
- And this isnât a solo mission. Youâll collaborate closely with Legal, AML, DevOps, QA, and product teams â translating complex needs into AI-powered solutions that respect governance and deliver measurable value. You wonât just be building models. Youâll be helping us build trust in the decisions those models make.
Qualifications You Bring:
- Must-Have:
- Bachelorâs or Masterâs degree in Computer Science, Engineering, or related field.
- At least 3 years of hands-on experience in AI/ML engineering or automation.
- Strong experience using LangChain/LangGraph for building LLM applications.
- Deep knowledge of vector databases (FAISS, PGVector, Qdrant) and RAG architectures.Proficiency in Python, FastAPI, and key ML frameworks (Transformers, PyTorch, TensorFlow).Proven ability in advanced prompt engineering techniques.
- Nice-to-Have:
- Familiarity with n8n or similar workflow orchestration platforms.
- Experience deploying and managing production-scale LLMs (AWS SageMaker, Azure ML, Hugging Face).
- Practical fine-tuning skills (LoRA, full-model fine-tuning, hyperparameter optimization).
- Experience with containerization (Docker) and orchestration systems (Kubernetes).
- Solid understanding of MLOps and LLMOps tools and practices (MLFlow, Grafana, Prometheus).
If youâre passionate about crafting impactful AI solutions that revolutionize business processes, weâd love to meet you!
Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: APIs Architecture AWS Azure Banking Computer Science Crypto DevOps Docker Engineering FAISS FastAPI FinTech Grafana Kubernetes LangChain LLMOps LLMs LoRA Machine Learning MLFlow MLOps Pipelines Prompt engineering Python PyTorch RAG SageMaker Spark TensorFlow Testing Transformers
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