Bayzat is at the forefront of transforming workplaces through innovative solutions in HR, Payroll, Finance, and Insurance. Renowned as a leading SaaS platform for employee benefits and a key player in the Insurance sector, we are committed to our mission: empower every company to create a remarkable workplace by supercharging people processes and payments.
As one of the MENA region's fastest-growing Scale-Ups, Bayzat is celebrated for its innovative product offerings, backed by over 300 team members from 35+ nationalities. Recognized by Forbes as a promising UAE-based startup and supported by leading VCs like Mubadala and Point72 Ventures, we are among the best-funded HRTech scale-ups in the region.
At Bayzat, culture is paramount. We are a principle-driven, merit-based organization where authenticity, collaboration, and unpretentiousness thrive. Joining Bayzat means immersing yourself in an environment of high achievers, tackling complex challenges, and constantly striving for success. Our culture inspires continuous learning and excellence, allowing you to work with and be inspired by some of the brightest minds in the industry.
Our journey to success is anchored in our commitment to innovation, empowering businesses with features designed to optimize efficiency and elevate employee experiences. Whether enhancing people processes, streamlining payments, or enabling smarter decisions, Bayzat is redefining what it means to create a truly remarkable workplace.
About the role:
In this role, you will work across both our Internal AI Automation and Customer-Facing AI teams, designing and deploying advanced AI-driven features and internal tools. You'll be at the forefront of integrating Generative AI, LLM, and ML models into real products and workflows, using a modern AI tech stack that includes LangChain, LlamaIndex, CrewAI, Anthropic(Claude),OpenAI(GPT-4 and others),AWS Bedrock, and the Weaviate vector database. Your work will have a broad impact, from empowering our customers with intelligent product features to streamlining internal operations across various departments.
Some high-impact responsibilities you will be entrusted with:
- Design, develop, and evaluate AI/LLM pipelines for a variety of use cases – from RAG-based knowledge assistants to multi-agent task automation. This includes choosing the right components (LLMs, vector stores, prompt chaining, etc.) and ensuring they work together seamlessly.
- Build robust evaluation and monitoring systems to track model and pipeline performance over time. You will define success metrics, implement automatic evaluations (for accuracy, relevance, latency, etc.), and use feedback to drive continuous improvements in our AI systems.
- Collaborate with cross-functional domain experts(HR, insurance, sales, marketing, and others) to identify opportunities for AI automation and to gather requirements.
- Develop and deploy autonomous AI agents that can safely perform actions on our platform. You will define agents' roles, goals, and tool access, using frameworks like LangChain/CrewAI to coordinate complex sequences of actions. Ensuring these agents are reliable and behave as intended will be a key part of your role (including rigorous testing in sandbox environments).
- Optimize and integrate foundation models via APIs and AWS Bedrock. You'll leverage large-scale models from OpenAI, Anthropic, and other providers (through AWS Bedrock's managed API or direct calls) and fine-tune or prompt-engineer them for our needs. A big part of this is staying up-to-date on the latest models and figuring out which is best for a given task (accuracy vs. speed, etc.).
- Implement and maintain vector database integrations(Weaviate) for semantic search and retrieval. You'll be responsible for how we index and query our unstructured data (documents, knowledge articles, etc.) so that our LLMs can fetch relevant context with minimal latency. This includes crafting embeddings, setting up hybrid search (vector + keyword), and ensuring data privacy in the vector store.
- Mentor and upskill team members in AI best practices. You'll be a go-to expert for all things LLM. Many of our engineers have strong software backgrounds but are newer to AI/ML – you'll provide guidance through code reviews, knowledge-sharing sessions, and pairing, to raise the AI proficiency across the team.
- Experiment, Innovate, and Lead: Evaluate new tools, frameworks, and techniques in the fast-moving LLM ecosystem. Whether it's a new prompt optimization approach, a better way to fine-tune a model, or an emerging open-source framework, you'll have the freedom to run proof-of-concepts and bring in innovations that keep Bayzat at the cutting edge. You will also help guide strategic decisions on our AI roadmap, ensuring we invest in the highest-impact projects.
What you will need to have:
- Hands-on LLM Experience: Proven experience building applications powered by large language models (GPT-3.5/4, Claude, etc.). You should be comfortable with prompt engineering, model tuning (via APIs or open-source models), and integrating LLMs into end-to-end systems.
- Proficiency with Modern AI Frameworks: Strong working knowledge of frameworks and libraries for building AI pipelines, such as LangChain, LlamaIndex, or similar. Bonus if you have experience with agent orchestration frameworks like CrewAI for multi-agent systems.
- Vector Databases & Retrieval Know-how: Familiarity with vector search concepts and experience using a vector datastore (Weaviate, Pinecone, etc.) in an application. You understand how to create embeddings and use similarity search to implement RAG ( retrieval-augmented generation)
- Programming and Software Engineering Skills: Fluent in Python (our primary language for AI work) and adept at writing clean, production-quality code. Experience building APIs or microservices (we often wrap AI features behind APIs) is a plus. Solid understanding of software engineering best practices (code reviews, testing, CI/CD).
- Cloud and APIs: Experience deploying or scaling AI solutions on cloud platforms. Familiarity with AWS is a plus (we use services like AWS Bedrock and SageMaker for managed model hosting ). Ability to work with RESTful APIs and build tools around them (for connecting AI agents to external services).
- Analytical Mindset: Ability to design experiments and analyze results critically. You should be comfortable validating the effectiveness of an AI solution, whether through quantitative metrics or qualitative feedback, and debugging where things go wrong (e.g., why an agent took a bad step, or why a model gave a poor answer).
- Collaboration & Communication: Excellent communication skills with both technical and non-technical stakeholders. You will be discussing ideas with software engineers one moment and explaining AI capabilities to a sales manager the next. The ability to translate between AI jargon and layperson terms is important.
What's in it for you? Perks!
Bayzat is committed to creating an inclusive and collaborative working environment where everyone's background and ideas count. Our culture encourages members to be the best versions of themselves while taking advantage of our perks:
- Growth: Fast-track growth opportunities for high-achieving members, with no rules around where, when, how, or how often.
- Flexibility: Work your way with remote, hybrid setups.
- Well-being: Open Leave Policy—empowering you to balance life, recharge, and thrive!
- Inclusiveness: From bi-weekly company-wide town halls/all-hands meetings to regular huddles, OKR tribe meetings, celebratory dinner parties, and annual awards ceremonies held in the Metaverse, you'll be joining a truly inclusive and engaging workplace.
- Shared Ownership: We make them shareholders! We open up rounds of ESOP twice to three times a year. And guess what, those who continue to perform and achieve great things are topped up, almost every round!
- Kick-ass offices: We have offices in UAE, Saudi, Jordan and India. One of our two Dubai-based offices is in the DIFC FinTech Hive, which is the first and largest financial technology accelerator in the Middle East, Africa and South Asia (MEASA) region.
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