AI Engineer (GenAI / Agentic Platform)

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SeniorHybryda·WarszawaFull-time·Umowa o pracę

#463680·Dodano wczoraj·0

Źródło: justjoin.it

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Tech Stack / Keywords

Generative AI Large Language ModelsRAGGoogle Cloud PlatformVertex AILanggraph LangchainSemantic KernelAutogen

Podsumowanie oferty

Build AI agents, agentic workflows, and AI-powered services for the Finance AI Platform, a foundation for Generative AI and Agentic AI capabilities. Develop reusable platform components and RAG capabilities using Python, LLMs, and agent frameworks including LangGraph and 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 strategies, embeddings, retrieval optimization, grounding techniques, vector search, and evaluation methodologies.
Experience with agentic AI frameworks and orchestration patterns such as LangGraph, LangChain, Semantic Kernel, AutoGen, 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.
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 integration of AI capabilities with enterprise data platforms.
Familiarity with the Model Context Protocol (MCP) and standards for AI agent interoperability.
Experience working with foundation models such as Claude (Anthropic), OpenAI GPT models, 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 that enable development teams to create, deploy, and scale AI-driven use cases.
Ensure production-grade quality through automated testing, AI evaluation frameworks, observability, monitoring, telemetry, and performance optimization.
Implement security, governance, and Responsible AI practices for reliable, compliant, and trustworthy AI solutions.
Collaborate with engineers, architects, product owners, and business stakeholders to define technical direction, establish AI engineering practices, and drive adoption of AI capabilities.

Inne informacje

The recruitment process consists of preliminary CV selection, an online interview with the hiring leader, and a background check.

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