Nordea

AI Engineer (GenAI / Agentic Platform)

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MidHybryda·WarszawaFull-time

#462548·Dodano 15 dni temu·1

Źródło: nofluffjobs.com

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Tech Stack / Keywords

AICloud platformLLMsRAGUse casesAutomated testingSecurityClean ArchitectureCloudPython LangChain CI/CDTestingSnowflake Claude OpenAI GPTGeminiGDPRGoogle Cloud Platform GCP

Podsumowanie oferty

Build and evolve the Finance AI Platform for the bank’s Regulatory Reporting Software Development Team. Develop AI agents, RAG capabilities, and reusable platform components using Python and agentic frameworks such as LangChain.

Wymagania

5+ years of software engineering experience, including designing, building, and operating production-grade applications in cloud environments.
Hands-on experience delivering production Generative AI solutions, including LLM-powered applications, RAG, tool/function calling, and agent-based workflows.
Strong Python skills and experience building APIs, integrations, and backend services that interact with enterprise platforms and data sources.
Understanding of RAG architectures, including document ingestion, chunking, embeddings, retrieval optimization, grounding, vector search, and evaluation.
Experience with agentic AI frameworks and orchestration patterns such as LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI, or equivalent technologies.
Experience building cloud-native AI solutions, preferably on Google Cloud Platform (GCP), including Vertex AI, model serving, vector search services, containerized applications, and CI/CD automation.
Experience building observable and reliable AI systems, including automated evaluations, monitoring, telemetry, tracing, guardrails, and performance optimization.
Strong understanding of software engineering best practices, including testing strategies, security principles, scalability, and maintainability.

Nice to have:

Experience building or contributing to enterprise AI platforms supporting multiple teams and business domains.
Hands-on experience with Snowflake, including integrating AI capabilities with enterprise data platforms.
Familiarity with the Model Context Protocol (MCP) and standards for AI agent interoperability.
Experience with foundation models such as Claude, OpenAI GPT, Gemini, or open-source LLMs.
Experience implementing Responsible AI, governance, security, and compliance controls in regulated environments.
Experience in financial services, banking, risk, regulatory reporting, or data-intensive enterprise environments.

Obowiązki

Design, build, and operate AI agents, agentic workflows, and AI-powered services using LLMs, enterprise systems, and internal data sources through the Finance AI Platform.
Develop and improve RAG capabilities, including knowledge ingestion, vector search, retrieval optimization, grounding strategies, and response evaluation.
Integrate AI solutions with internal platforms and backend services through APIs, tool/function calling, and secure enterprise integrations.
Build reusable platform capabilities for teams to create, deploy, and scale AI-driven use cases.
Ensure production quality through automated testing, AI evaluation frameworks, observability, monitoring, telemetry, and performance optimization.
Implement security, governance, and Responsible AI practices.
Collaborate with engineers, architects, product owners, and business stakeholders to define technical direction, establish AI engineering practices, and drive adoption.

Inne informacje

Recruitment process: preliminary CV selection, online interview with the hiring leader, and background check.

Nordea

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