Senior AI Engineer
Bakson partnered with RepRisk, a leading global Data as a Service (DaaS) provider for reputational risk and responsible business conduct.
RepRisk combines advanced AI with deep human expertise to deliver data-driven insights that help clients make better-informed decisions, act faster, and manage risk with confidence. Headquartered in Zurich, with offices worldwide, RepRisk is trusted by organizations globally for its independent perspective and commitment to transparency.
With a team of 400 professionals and values rooted in intellectual honesty, operational excellence, and respect, RepRisk is setting the global standard for business conduct data – driving meaningful change through greater transparency. Together, Bakson and RepRisk are advancing responsible business practices through powerful, actionable intelligence.
As our new AI Engineer, you will play a crucial role in developing state-of-the-art agentic systems and AI integrations within RepRisk’s Agentic delivery team. You will contribute to the design, implementation and operation of agentic and AI products within the company.
Key responsbilities
- Designing and building agentic AI features that leverage memory, planning, and tool-use to solve real-world business problems
- Developing, integrating, and maintaining LLM-powered microservices and pipelines as part of broader production applications
- Fine-tuning foundation models and training custom models for perception, reasoning, and decision-making tasks
- Identifying, testing, and implementing state-of-the-art advancements in LLMs and autonomous agent architectures (e.g., tool-use, reflection, multi-agent coordination)
- Ensuring robust performance through continuous evaluation, optimization, and A/B testing of AI components
- Maintaining a well-balanced tech stack that prioritizes both simplicity and efficiency
- Collaborating closely with product managers, designers, and domain experts to align technical solutions with user needs and business goals
- Mentoring and guiding team members, fostering a collaborative engineering culture
- Participating in technical design reviews and code reviews to uphold high engineering standards
- Contributing actively to a cross-functional Scrum team, sharing insights and driving innovation from concept to deployment
Required skills & experience
- A Master’s degree or higher in Computer Science, Engineering, Statistics, or a related STEM field (or equivalent practical experience)
- 4+ years of hands-on experience as a Machine Learning Engineer, AI Engineer, or similar role in an industry setting
- Proven experience in building or integrating agentic AI systems, such as autonomous agents, workflow automation, or reasoning-driven LLM applications
- Expert-level Python skills and fluency with key ML/AI libraries (e.g., HuggingFace, LangChain, etc.)
- Hands-on experience fine-tuning, deploying, and monitoring LLMs in production environments
- Practical experience building and managing scalable, data-driven microservices and pipelines
- Strong grounding in software engineering best practices and clean, maintainable code
- Familiarity with cloud platforms (AWS or Azure), CI/CD workflows, and containerized environments
- A proactive mindset with the initiative to drive ideas from concept to production independently and as a team leader
- Effective mentorship skills and the ability to provide thoughtful, constructive feedback
- A structured, analytical approach to problem-solving, with a focus on delivering practical and maintainable solutions
- Excellent communication and collaboration skills, with professional fluency in English
WHAT WE OFFER
- Mix of serious projects and a great working atmosphere, well recognized on the market
- Dynamic international and remote friendly work environment
- Remote first company
- Proper financial compensation
- Private medical care
- Personal and professional development – personal education budget, internal Tech talks and soft skills trainings
- Skilled and senior co-workers
WHO WE ARE?
Bakson Ltd is a software development company based in Belgrade. We are working with teams around the world and take pride on variety of projects we handle and technology we use.
HOW DO WE WORK?
Our workflow is inspired by Agile and Lean principles. We’re not devoted to Scrum or any other framework, but are trying to work in small batches, with fast feedback and very close interaction with product owners.
The emphasis in our team is on collaboration and mutual support – sharing project workflow with globally distributed teams, contributing code to core global services and applications, and encouraging cultural exchange between development groups. Ticketmaster encourages working from home, and the distributed nature of our teams requires us to have flexibility around working hours. We’re familiar with asynchronous and remote work. A Software Engineer in our company is a core writer of code, but also an inspirer and an exemplar to other developers…
Basically, what we care about is that you are a self-starter, happy to work with others, and prepared to adapt and do your best.
We aim for our hiring process to be as collaborative and realistic as possible, so it’ll be focused on writing and reviewing code – both written by you and by others. We want you to feel like you’d be comfortable working with us, and we also want to feel the same way, so you’ll meet quite a few of the team, and interact with them in as close to a life-like way as possible. This is a two-way street – we’re keen for you to like us as much as the other way around. If you’d like get started, you can apply by pressing the “apply” button on this webpage or by sending a CV or an introductory email to [email protected]