Play'n GO
Agentic AI Engineer (GenAI)
RemoteBudapest, HU / Sliema, MT / Warsaw, PL / Barcelona, ES / Växjö, SE / London, the United KingdomApplications closedAI/ML
Our Take
Design, build, and deploy autonomous AI agents using Python and LangChain/LangGraph frameworks.
What you’ll do
- Design multi agent systems including planning strategies and memory management
- Implement Retrieval Augmented Generation (RAG) pipelines and semantic search
- Develop microservices for scalable AI workflows and integration
- Productionize agentic systems with end to end observability and testing
- Apply LLM safety, reliability, and governance best practices
What they’re looking for
- Bachelor’s or Master’s degree in CS, Data Science, ML
- Proven experience building agentic AI systems in production
- Strong proficiency in Python (well-structured code)
- Hands on with modern frameworks like LangChain/LangGraph/AutoGen
- Solid understanding of RAG architectures and vector databases
- Experience with cloud platforms, AWS preferred
Skills & Focus Areas
- Agentic AI
- GenAI
- RAG
- Semantic Search
- Microservices
- API Integration
As posted by Play'n GO
Job title: Agentic AI Engineer (GenAI)
Job Details
Hours: Full Time
Location: Fully remote. This opportunity is open to you if you can legally work remotely from one of our home countries in the UK, Sweden, Malta, Hungary, Spain or Poland.
Contract: Permanent
At Play’n GO we enjoy a flexible freedom to shape our own days. Everyone we hire is unique and every role we fill has certain performance expectations. The day-to-day challenges of work and life will be unique to you but our commitment to helping you find a balance will never vary.
From the GO
At Play’n GO our purpose is to entertain. Our pleasure is in working with people ready to make a difference that lasts. We are pioneers. We were the first entertainment supplier to recognise the potential of gaming on the GO and create the innovative mobile games which supercharged our industry and inspired our name. Today, Play’n GO is the leading gaming entertainment supplier to casinos in regulated markets the world over. And we are still growing.
With growth comes opportunity. This could be yours. Are you ready to help us face challenges and find solutions that get us both to the next level of excellence?
What the role entails:
Some of the key responsibilities of our Agentic AI Engineer (GenAI) will be:
Agent and System:
Design and Implementation
Architect, develop, and deploy autonomous and human in the loop AI agents for real world production use.
Design multi agent systems, including agent roles, planning strategies, memory management, tool use, and workflow orchestration using modern agent frameworks.
Implement Retrieval Augmented Generation (RAG) and semantic search pipelines, including indexing strategies, retrieval policies, evaluation, and optimization.
Design and implement microservices based architectures to support scalable AI workflows.
Integration & Engineering
Design and deploy agents that function as user facing experiences or as embedded components within distributed, service oriented architectures.
Develop and integrate agent tools, APIs, and system connectors to enable seamless interaction with external services, data stores, and internal platforms.
Ensure robust output validation and error handling across agent interactions.
Implement prompt engineering best practices, along with guardrails and validation techniques to reduce hallucinations and improve reliability.
Production & Operations
Productionize agentic systems with end to end observability, including tracing, performance metrics, and feedback loops.
Build evaluation harnesses and automated testing for agents, prompts, and workflows.
Apply industry best practices around LLM safety, reliability, and governance.
Continuously stay current with advances in agent frameworks, LLM tooling, and GenAI system patterns.
Collaboration & Communication
Partner with product, engineering, and business stakeholders to define requirements and design intuitive human AI interaction patterns.
Clearly communicate complex technical concepts to both technical and non technical audiences.
Document architectures, decisions, and best practices, and actively share knowledge with the wider team.
What we ask of you:
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
Proven experience building and deploying agentic AI systems in production environments.
Strong proficiency in Python, including writing well structured, testable code and automated evaluations.
Hands on experience with modern agent frameworks (e.g. LangChain, LangGraph, AutoGen, CrewAI).
Solid understanding of RAG architectures, vector databases, and semantic retrieval techniques.
Experience with cloud platforms (AWS preferred) and containerization technologies.
Strong analytical and problem solving skills, with the ability to work both independently and collaboratively.
Ability to switch seamlessly between deep technical discussions and clear, business oriented explanations
What’s in it for you?
If you feel great, you’ll do great. Our employees know that their package of benefits, activities, and initiatives are some of the most generous in the industry. From challenges to chill outs, the fun we share at play helps inspire excellence from the go.
Apply now to find out more. It’s your best move. This opportunity will remain open until we meet the right candidate.
GO for it.
We believe the way forward relies on well-regulated gaming and player safety. Our commitment to this sets the standard for our industry.