Senior Applied Scientist

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Diligent Governance Hungary Kft.
Munkavégzés helye

Budapest

Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
Elvárt technológiák
- AWS PYTHON PANDAS CLOUD DATABASES ACCESS
Elvárások
- Nem kell nyelvtudás
- Nem kell tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Design, prototype, and refine LLM based features over large document sets.
Orchestrate multi step, agentic workflows and tool calling (including MCP servers and other integrations) so LLMs can take meaningful actions, not just generate text.
Define evaluation frameworks, experiments, and metrics to measure model quality, relevance, and safety.
Use AWS services (i.e. AWS Bedrock) to deliver reliable, secure, and scalable AI capabilities.
Work closely with domain experts, PMs and software engineers to turn prototypes into reliable, production ready services.
Handle complex, domain specific text (e.g. legal, financial, or regulatory content) with a strong focus on accuracy, robustness, and privacy.
Communicate findings clearly, share best practices, and stay up to date with the latest ML and AI research.

Requirements

Hands-on experience building LLM powered applications or features (e.g. RAG systems, chatbots, assistants, agentic solutions or document centric workflows).
Strong Python skills and everyday comfort with the modern data / AI ecosystem (e.g. pandas, NumPy, basic ML libraries, HTTP APIs, and SDKs for cloud AI services).
Practical experience with LLM powered solution design, evaluation, and iteration.
Familiarity with at least one cloud platform (ideally AWS) and building or contributing to services or pipelines that run in production.
A degree in Computer Science, Data/Applied Science, Mathematics, Statistics, or a related technical field, or equivalent practical experience.
Clear communication skills, collaborative mindset, and a genuine interest in learning, sharing knowledge, and iterating quickly based on feedback.

Nice-to-have

Experience designing and implementing agentic workflows (multi step reasoning, tool calling, planners) and/or building MCP servers or similar tool integrations., Hands-on experience with AWS Bedrock or comparable platforms (model selection, configuration, guardrails, evaluation, and cost/performance trade-offs)., Experience with semantic search, vector databases, and information retrieval techniques in production systems., Familiarity with observability and evaluation for LLM applications (e.g. logging, feedback loops, offline and online evaluation, safety checks)., Experience working with complex or regulated content such as legal, risk, compliance, financial, or governance documents., Hybrid work model requiring onsite presence at least 50% of the time if within commuting distance to an office.

What we offer

Creativity is ingrained in our culture with innovative collaboration.
Flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs.
Global teams with office hubs in multiple cities including Budapest.
Diversity is important with Employee Resource Groups and access to resources and education to support team understanding.

Company info

Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.