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
Elvárások
- Nem kell nyelvtudás
- Nem kell tapasztalat
- Egyetem

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

What we offer

Creativity is ingrained in our culture
Flexible work environment
Global days of service
Comprehensive health benefits
Meeting free days
Generous time off policy
Wellness programs
Teams all over the world with multiple office hubs
Diversity is important and fostered through Employee Resource Groups and education

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.