Senior Software Engineer (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer (AI/ML): Designing and delivering production-grade AI solutions focusing on agentic systems and RAG for legal and HR operations with an accent on multi-agent workflows and AI evaluation frameworks. Focus on building scalable AI infrastructure on AWS, optimizing prompt strategies, and implementing robust hallucination detection and drift monitoring.
Location: Remote (Must be based in Germany)
Company
provides world-class software products that simplify operations in the Legal, Risk, Compliance, and HR functions for over 20,000 client companies globally.
What you will do
- Design, build, and operate multi-agent workflows and tool-enabled agents with orchestration logic and safety guardrails.
- Architect end-to-end RAG systems, including document ingestion, embedding, vector retrieval, and answer synthesis.
- Evaluate and integrate LLMs and GenAI services based on cost, performance, and privacy dimensions.
- Develop and optimize prompting strategies with automated testing and regression tracking.
- Define evaluation frameworks for generative outputs using automated metrics and LLM-as-judge approaches.
- Build and operate secure AI infrastructure on AWS using Bedrock, SageMaker, and infrastructure-as-code (Terraform/CDK).
Requirements
- Location: Must be based in Germany
- Master’s degree in Machine Learning or Computer Science, preferably with a specialization in NLP.
- Production experience designing multi-agent systems (LangChain, LangGraph, AutoGen) and RAG pipelines.
- Hands-on experience with AWS Bedrock, SageMaker, Lambda, and OpenSearch.
- Proficiency in production-quality Python, including async programming and testing.
- Experience with GenAI providers such as OpenAI, Anthropic, and Meta.
Culture & Benefits
- Diverse and inclusive work culture centered around individual excellence and learning.
- Global, close-knit team environment blending entrepreneurial spirit with enterprise investment.
- Opportunity to work with complex, leading-edge technologies at a rapid pace.
- Focus on people practices and an ecosystem that supports professional growth.
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